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GNN/test.jsonl

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+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 12, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [1,0]\nnode 4: [1,0]\nnode 5: [0,1]\nnode 6: [1,1]\nnode 7: [1,0]\nnode 8: [0,1]\nnode 9: [1,0]\nnode 10: [0,0]\nnode 11: [0,1]\nnode 12: [0,0]\nThe edges are: (0,7) (1,3) (1,5) (1,7) (2,6) (3,12) (3,11) (3,10) (4,8) (6,12) (7,11) (7,10) (8,11) (9,12) (9,11)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [0,2]\nnode 1: [0,3]\nnode 2: [0,1]\nnode 3: [10,3]\nnode 4: [1,1]\nnode 5: [2,1]\nnode 6: [4,2]\nnode 7: [8,2]\nnode 8: [3,2]\nnode 9: [6,2]\nnode 10: [0,3]\nnode 11: [1,5]\nnode 12: [0,3]\n", "difficulty": "hard", "doc_id": "0"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [0,1]\nnode 2: [0,0]\nnode 3: [0,1]\nnode 4: [1,1]\nnode 5: [0,1]\nThe edges are: (0,1) (0,2) (1,2) (1,3) (1,4) (1,5) (2,3) (4,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,5]\nnode 1: [1,8]\nnode 2: [1,5]\nnode 3: [1,5]\nnode 4: [2,5]\nnode 5: [1,5]\n", "difficulty": "easy", "doc_id": "1"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,0]\nnode 3: [0,0]\nnode 4: [1,1]\nThe edges are: (0,4) (0,3) (0,2) (1,2) (2,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,4]\nnode 1: [1,2]\nnode 2: [2,2]\nnode 3: [2,3]\nnode 4: [1,1]\n", "difficulty": "easy", "doc_id": "2"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,0]\nnode 2: [1,0]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [1,1]\nnode 6: [1,1]\nThe edges are: (0,6) (1,3) (1,2) (1,6) (2,3) (2,4) (2,5) (2,6) (3,5) (4,6) (5,6)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [2,2]\nnode 1: [7,5]\nnode 2: [12,6]\nnode 3: [9,4]\nnode 4: [5,4]\nnode 5: [7,5]\nnode 6: [12,6]\n", "difficulty": "easy", "doc_id": "3"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [1,0]\nnode 2: [1,1]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [1,1]\nnode 6: [0,1]\nThe edges are: (0,6) (0,3) (1,4) (2,5) (2,3) (3,5) (4,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [4,4]\nnode 1: [2,1]\nnode 2: [5,4]\nnode 3: [5,3]\nnode 4: [2,1]\nnode 5: [7,5]\nnode 6: [1,1]\n", "difficulty": "easy", "doc_id": "4"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [1,1]\nnode 5: [1,1]\nThe edges are: (0,1) (0,4) (0,3) (1,4) (1,3) (2,4) (2,5) (3,5) (4,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [4,5]\nnode 1: [4,5]\nnode 2: [3,5]\nnode 3: [6,7]\nnode 4: [8,9]\nnode 5: [4,5]\n", "difficulty": "easy", "doc_id": "5"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 7, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [0,1]\nnode 4: [1,0]\nnode 5: [0,1]\nnode 6: [1,1]\nnode 7: [0,0]\nThe edges are: (0,1) (0,3) (0,4) (1,7) (1,6) (1,3) (1,4) (2,7) (2,3) (2,5) (3,7) (3,4) (4,7) (4,5) (5,6)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [6,10]\nnode 1: [5,14]\nnode 2: [5,8]\nnode 3: [6,14]\nnode 4: [9,13]\nnode 5: [1,8]\nnode 6: [5,5]\nnode 7: [6,12]\n", "difficulty": "easy", "doc_id": "6"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 7, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [1,0]\nnode 2: [0,0]\nnode 3: [0,1]\nnode 4: [1,0]\nnode 5: [0,1]\nnode 6: [0,0]\nnode 7: [1,0]\nThe edges are: (0,3) (0,7) (0,1) (0,2) (0,5) (0,4) (1,4) (2,5) (2,4) (2,6) (4,7) (6,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [11,1]\nnode 1: [6,2]\nnode 2: [8,2]\nnode 3: [3,2]\nnode 4: [9,3]\nnode 5: [5,3]\nnode 6: [4,1]\nnode 7: [7,2]\n", "difficulty": "easy", "doc_id": "7"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,0]\nnode 2: [1,0]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [0,0]\nThe edges are: (0,4) (0,2) (0,3) (1,4) (2,5) (2,3) (3,5) (3,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [6,3]\nnode 1: [2,1]\nnode 2: [6,1]\nnode 3: [8,2]\nnode 4: [4,1]\nnode 5: [4,2]\n", "difficulty": "easy", "doc_id": "8"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,4) (3,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,2]\nnode 1: [1,4]\nnode 2: [1,3]\nnode 3: [1,3]\nnode 4: [1,4]\n", "difficulty": "easy", "doc_id": "9"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 14, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [0,0]\nnode 4: [1,0]\nnode 5: [0,0]\nnode 6: [1,0]\nnode 7: [1,1]\nnode 8: [0,1]\nnode 9: [0,1]\nnode 10: [1,1]\nnode 11: [1,0]\nnode 12: [0,1]\nnode 13: [1,1]\nnode 14: [0,1]\nThe edges are: (0,10) (0,11) (0,5) (1,11) (1,2) (1,9) (2,5) (2,12) (2,13) (2,7) (2,8) (3,5) (3,13) (3,14) (4,10) (5,11) (5,13) (5,14) (6,11) (6,9) (6,12) (6,7) (6,14) (7,14) (8,12) (10,11) (11,14) (13,14)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [9,9]\nnode 1: [6,10]\nnode 2: [6,14]\nnode 3: [7,8]\nnode 4: [3,1]\nnode 5: [12,16]\nnode 6: [10,11]\nnode 7: [8,11]\nnode 8: [3,7]\nnode 9: [3,6]\nnode 10: [6,6]\nnode 11: [15,14]\nnode 12: [4,11]\nnode 13: [10,13]\nnode 14: [10,18]\n", "difficulty": "hard", "doc_id": "10"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 8, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [0,1]\nnode 2: [1,0]\nnode 3: [1,1]\nnode 4: [0,0]\nnode 5: [0,0]\nnode 6: [1,1]\nnode 7: [1,1]\nnode 8: [0,1]\nThe edges are: (0,1) (1,4) (1,8) (2,6) (3,6) (4,6) (4,7) (5,7) (6,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,1]\nnode 1: [2,5]\nnode 2: [3,2]\nnode 3: [3,2]\nnode 4: [5,4]\nnode 5: [1,1]\nnode 6: [5,6]\nnode 7: [6,6]\nnode 8: [1,1]\n", "difficulty": "hard", "doc_id": "11"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,0]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [1,0]\nThe edges are: (0,1) (0,3) (1,2) (2,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,3]\nnode 1: [1,1]\nnode 2: [3,3]\nnode 3: [0,1]\nnode 4: [1,0]\n", "difficulty": "easy", "doc_id": "12"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [1,0]\nnode 3: [1,1]\nnode 4: [0,0]\nnode 5: [0,1]\nThe edges are: (0,1) (0,5) (1,4) (1,5) (2,4) (3,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [2,4]\nnode 1: [3,6]\nnode 2: [2,2]\nnode 3: [2,2]\nnode 4: [1,2]\nnode 5: [1,4]\n", "difficulty": "easy", "doc_id": "13"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 9, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [1,0]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [0,1]\nnode 5: [1,0]\nnode 6: [0,1]\nnode 7: [1,1]\nnode 8: [0,0]\nnode 9: [0,0]\nThe edges are: (0,4) (0,5) (1,9) (1,2) (2,8) (2,5) (3,7) (4,6) (5,8) (7,9)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,2]\nnode 1: [4,1]\nnode 2: [5,3]\nnode 3: [0,1]\nnode 4: [1,2]\nnode 5: [5,2]\nnode 6: [1,1]\nnode 7: [3,2]\nnode 8: [4,1]\nnode 9: [1,2]\n", "difficulty": "hard", "doc_id": "14"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [0,1]\nnode 4: [0,0]\nnode 5: [0,1]\nnode 6: [1,0]\nThe edges are: (0,4) (0,2) (0,3) (1,2) (1,5) (2,3) (2,6) (2,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [4,6]\nnode 1: [2,4]\nnode 2: [1,8]\nnode 3: [2,5]\nnode 4: [0,2]\nnode 5: [2,5]\nnode 6: [2,3]\n", "difficulty": "easy", "doc_id": "15"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 13, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [1,0]\nnode 2: [1,0]\nnode 3: [1,1]\nnode 4: [0,0]\nnode 5: [0,0]\nnode 6: [1,1]\nnode 7: [1,1]\nnode 8: [0,0]\nnode 9: [1,0]\nnode 10: [1,0]\nnode 11: [0,0]\nnode 12: [0,1]\nnode 13: [0,1]\nThe edges are: (0,13) (0,4) (1,12) (1,8) (2,13) (2,9) (2,11) (3,9) (3,8) (4,13) (4,9) (4,6) (4,7) (5,6) (5,11) (5,8) (6,12) (6,7) (7,9) (7,8) (8,10) (8,13) (9,11) (10,13) (12,13)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [5,6]\nnode 1: [6,5]\nnode 2: [7,4]\nnode 3: [7,5]\nnode 4: [8,8]\nnode 5: [7,5]\nnode 6: [8,8]\nnode 7: [11,11]\nnode 8: [6,6]\nnode 9: [9,6]\nnode 10: [6,5]\nnode 11: [5,4]\nnode 12: [3,5]\nnode 13: [10,12]\n", "difficulty": "hard", "doc_id": "16"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [1,0]\nThe edges are: (0,2) (0,4) (0,3) (1,2) (1,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,5]\nnode 1: [2,4]\nnode 2: [3,4]\nnode 3: [3,4]\nnode 4: [2,2]\n", "difficulty": "easy", "doc_id": "17"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 9, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nnode 5: [1,0]\nnode 6: [0,0]\nnode 7: [0,0]\nnode 8: [1,1]\nnode 9: [1,0]\nThe edges are: (0,5) (1,9) (1,3) (1,7) (1,8) (2,9) (2,8) (3,4) (4,7) (4,5) (5,6) (6,9) (6,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,2]\nnode 1: [0,4]\nnode 2: [0,2]\nnode 3: [5,3]\nnode 4: [1,4]\nnode 5: [5,1]\nnode 6: [1,4]\nnode 7: [7,3]\nnode 8: [5,3]\nnode 9: [7,3]\n", "difficulty": "hard", "doc_id": "18"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 8, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,0]\nnode 2: [1,1]\nnode 3: [1,1]\nnode 4: [0,0]\nnode 5: [1,1]\nnode 6: [0,1]\nnode 7: [1,0]\nnode 8: [1,1]\nThe edges are: (0,2) (0,4) (1,5) (2,6) (3,7) (3,5) (3,4) (3,8) (4,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [2,4]\nnode 1: [1,1]\nnode 2: [2,2]\nnode 3: [5,5]\nnode 4: [5,4]\nnode 5: [4,3]\nnode 6: [0,2]\nnode 7: [5,4]\nnode 8: [3,2]\n", "difficulty": "hard", "doc_id": "19"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [0,1]\nnode 4: [1,1]\nThe edges are: (0,1) (0,4) (1,3) (1,2) (1,4) (2,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,5]\nnode 1: [1,4]\nnode 2: [1,5]\nnode 3: [1,5]\nnode 4: [2,5]\n", "difficulty": "easy", "doc_id": "20"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [1,0]\nnode 5: [0,0]\nnode 6: [1,1]\nThe edges are: (0,4) (0,5) (0,3) (1,5) (1,3) (2,3) (4,5) (5,6)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [6,7]\nnode 1: [5,6]\nnode 2: [2,3]\nnode 3: [1,3]\nnode 4: [4,4]\nnode 5: [2,3]\nnode 6: [3,3]\n", "difficulty": "easy", "doc_id": "21"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 7, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [1,1]\nnode 2: [1,0]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [1,1]\nnode 6: [1,1]\nnode 7: [1,1]\nThe edges are: (0,4) (0,6) (0,5) (0,7) (1,2) (1,7) (2,6) (2,5) (3,6) (3,7) (5,7) (6,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [13,5]\nnode 1: [8,6]\nnode 2: [9,3]\nnode 3: [9,4]\nnode 4: [3,3]\nnode 5: [11,9]\nnode 6: [13,11]\nnode 7: [14,8]\n", "difficulty": "easy", "doc_id": "22"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 10, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [1,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [1,0]\nnode 5: [1,0]\nnode 6: [1,1]\nnode 7: [1,0]\nnode 8: [0,0]\nnode 9: [1,1]\nnode 10: [0,0]\nThe edges are: (0,5) (0,7) (0,2) (1,7) (1,2) (2,9) (2,5) (2,6) (3,4) (3,6) (3,7) (3,8) (4,9) (5,9) (6,10) (7,10) (8,9)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [7,10]\nnode 1: [6,7]\nnode 2: [7,8]\nnode 3: [7,9]\nnode 4: [5,2]\nnode 5: [8,6]\nnode 6: [9,6]\nnode 7: [8,4]\nnode 8: [5,2]\nnode 9: [9,11]\nnode 10: [3,5]\n", "difficulty": "hard", "doc_id": "23"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [0,0]\nnode 2: [0,0]\nnode 3: [1,1]\nnode 4: [1,1]\nnode 5: [0,0]\nThe edges are: (0,4) (1,4) (2,4) (3,5) (3,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [2,1]\nnode 1: [2,1]\nnode 2: [2,1]\nnode 3: [3,2]\nnode 4: [4,4]\nnode 5: [1,1]\n", "difficulty": "easy", "doc_id": "24"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 14, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [1,0]\nnode 2: [0,0]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [1,0]\nnode 6: [1,1]\nnode 7: [1,0]\nnode 8: [1,0]\nnode 9: [1,0]\nnode 10: [1,0]\nnode 11: [0,1]\nnode 12: [0,0]\nnode 13: [0,1]\nnode 14: [0,1]\nThe edges are: (0,8) (0,3) (0,5) (1,8) (1,13) (1,12) (2,10) (2,7) (2,11) (2,6) (3,13) (3,12) (3,7) (3,5) (3,11) (4,10) (4,6) (5,8) (5,11) (6,8) (9,14) (9,12) (9,11)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [10,7]\nnode 1: [9,2]\nnode 2: [5,0]\nnode 3: [15,2]\nnode 4: [1,0]\nnode 5: [13,5]\nnode 6: [9,5]\nnode 7: [6,5]\nnode 8: [8,3]\nnode 9: [7,0]\nnode 10: [5,3]\nnode 11: [9,9]\nnode 12: [4,6]\nnode 13: [4,4]\nnode 14: [0,2]\n", "difficulty": "hard", "doc_id": "25"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [1,0]\nnode 4: [1,1]\nnode 5: [1,0]\nnode 6: [1,0]\nThe edges are: (0,4) (1,6) (1,5) (2,4) (2,3) (2,5) (3,5) (4,6) (5,6)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,1]\nnode 1: [4,2]\nnode 2: [4,3]\nnode 3: [5,2]\nnode 4: [6,3]\nnode 5: [8,3]\nnode 6: [5,2]\n", "difficulty": "easy", "doc_id": "26"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 10, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [0,0]\nnode 4: [1,0]\nnode 5: [0,1]\nnode 6: [0,1]\nnode 7: [0,0]\nnode 8: [0,1]\nnode 9: [1,0]\nnode 10: [0,0]\nThe edges are: (0,5) (0,9) (0,4) (1,6) (1,10) (1,4) (2,3) (2,10) (2,4) (3,4) (4,6) (4,7) (4,8) (6,7) (6,10) (8,9)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,4]\nnode 1: [2,5]\nnode 2: [2,6]\nnode 3: [2,3]\nnode 4: [9,4]\nnode 5: [2,1]\nnode 6: [3,7]\nnode 7: [2,3]\nnode 8: [2,4]\nnode 9: [4,1]\nnode 10: [3,1]\n", "difficulty": "hard", "doc_id": "27"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 7, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [1,0]\nnode 2: [0,0]\nnode 3: [0,0]\nnode 4: [0,0]\nnode 5: [0,0]\nnode 6: [0,1]\nnode 7: [1,1]\nThe edges are: (0,6) (0,1) (0,5) (1,3) (1,2) (1,7) (2,3) (2,5) (3,6) (3,4) (4,5) (5,7)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [2,5]\nnode 1: [4,2]\nnode 2: [3,5]\nnode 3: [2,3]\nnode 4: [2,3]\nnode 5: [3,1]\nnode 6: [2,2]\nnode 7: [2,4]\n", "difficulty": "easy", "doc_id": "28"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 12, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [1,0]\nnode 4: [0,0]\nnode 5: [1,1]\nnode 6: [0,0]\nnode 7: [1,1]\nnode 8: [0,0]\nnode 9: [1,1]\nnode 10: [1,0]\nnode 11: [1,0]\nnode 12: [1,1]\nThe edges are: (0,6) (1,5) (1,12) (1,4) (2,9) (2,11) (3,7) (3,8) (3,5) (4,7) (4,11) (6,10) (7,8) (8,12) (9,11) (10,12) (11,12)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,1]\nnode 1: [5,1]\nnode 2: [3,4]\nnode 3: [5,2]\nnode 4: [5,5]\nnode 5: [4,4]\nnode 6: [1,1]\nnode 7: [7,5]\nnode 8: [5,2]\nnode 9: [4,4]\nnode 10: [3,1]\nnode 11: [7,3]\nnode 12: [8,8]\n", "difficulty": "hard", "doc_id": "29"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,0]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [0,0]\nnode 5: [1,0]\nThe edges are: (0,2) (0,1) (0,4) (0,3) (1,5) (1,3) (2,5) (2,3) (3,4)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [7,8]\nnode 1: [4,5]\nnode 2: [4,5]\nnode 3: [6,8]\nnode 4: [3,4]\nnode 5: [4,4]\n", "difficulty": "easy", "doc_id": "30"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 5, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [0,0]\nnode 2: [0,0]\nnode 3: [0,0]\nnode 4: [1,0]\nnode 5: [1,1]\nThe edges are: (0,1) (0,3) (0,2) (1,5) (2,3) (2,5) (3,5) (4,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,3]\nnode 1: [1,0]\nnode 2: [2,1]\nnode 3: [2,1]\nnode 4: [1,0]\nnode 5: [4,4]\n", "difficulty": "easy", "doc_id": "31"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 8, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [1,1]\nnode 3: [1,1]\nnode 4: [1,1]\nnode 5: [1,1]\nnode 6: [0,0]\nnode 7: [1,1]\nnode 8: [1,1]\nThe edges are: (0,7) (0,6) (1,7) (1,4) (2,5) (3,5) (4,6) (5,7) (7,8)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [5,6]\nnode 1: [3,5]\nnode 2: [3,3]\nnode 3: [3,3]\nnode 4: [4,4]\nnode 5: [5,6]\nnode 6: [1,2]\nnode 7: [7,7]\nnode 8: [3,4]\n", "difficulty": "hard", "doc_id": "32"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 12, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [1,1]\nnode 2: [0,0]\nnode 3: [1,0]\nnode 4: [1,0]\nnode 5: [1,1]\nnode 6: [0,0]\nnode 7: [0,0]\nnode 8: [1,1]\nnode 9: [1,0]\nnode 10: [0,0]\nnode 11: [0,1]\nnode 12: [1,0]\nThe edges are: (0,12) (0,1) (0,10) (1,12) (1,6) (1,5) (1,11) (2,12) (2,11) (3,12) (4,12) (5,11) (6,7) (6,8) (7,11) (7,9) (8,11) (9,12)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [6,3]\nnode 1: [12,9]\nnode 2: [7,4]\nnode 3: [4,1]\nnode 4: [4,1]\nnode 5: [5,5]\nnode 6: [3,4]\nnode 7: [6,5]\nnode 8: [5,5]\nnode 9: [5,2]\nnode 10: [2,1]\nnode 11: [5,7]\nnode 12: [8,4]\n", "difficulty": "hard", "doc_id": "33"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 6, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [0,0]\nnode 2: [1,1]\nnode 3: [0,1]\nnode 4: [1,0]\nnode 5: [0,0]\nnode 6: [0,0]\nThe edges are: (0,6) (0,2) (1,3) (1,6) (1,5) (1,2) (2,4) (3,5) (4,5)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [3,0]\nnode 1: [4,1]\nnode 2: [3,4]\nnode 3: [2,3]\nnode 4: [3,1]\nnode 5: [2,3]\nnode 6: [2,3]\n", "difficulty": "easy", "doc_id": "34"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 7, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,0]\nnode 1: [1,0]\nnode 2: [1,1]\nnode 3: [1,1]\nnode 4: [0,1]\nnode 5: [1,1]\nnode 6: [0,1]\nnode 7: [1,1]\nThe edges are: (0,1) (0,7) (0,5) (0,6) (1,3) (1,5) (2,4) (3,6) (3,4) (4,5) (4,6)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [8,5]\nnode 1: [6,6]\nnode 2: [3,4]\nnode 3: [8,8]\nnode 4: [5,6]\nnode 5: [9,9]\nnode 6: [7,9]\nnode 7: [3,3]\n", "difficulty": "easy", "doc_id": "35"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 14, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,0]\nnode 1: [0,0]\nnode 2: [0,1]\nnode 3: [0,0]\nnode 4: [0,0]\nnode 5: [1,0]\nnode 6: [1,0]\nnode 7: [1,0]\nnode 8: [0,1]\nnode 9: [1,1]\nnode 10: [0,0]\nnode 11: [0,0]\nnode 12: [1,0]\nnode 13: [0,0]\nnode 14: [1,1]\nThe edges are: (0,3) (0,4) (0,2) (0,1) (1,14) (2,3) (2,7) (2,11) (3,5) (3,4) (3,14) (3,11) (4,12) (5,9) (5,14) (5,13) (6,12) (7,10) (7,11) (8,10) (8,14) (9,14) (10,14)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [5,3]\nnode 1: [2,3]\nnode 2: [3,5]\nnode 3: [7,6]\nnode 4: [3,3]\nnode 5: [7,5]\nnode 6: [1,0]\nnode 7: [4,3]\nnode 8: [4,4]\nnode 9: [4,4]\nnode 10: [3,4]\nnode 11: [3,3]\nnode 12: [2,0]\nnode 13: [2,2]\nnode 14: [10,9]\n", "difficulty": "hard", "doc_id": "36"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 10, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [0,1]\nnode 2: [0,0]\nnode 3: [1,0]\nnode 4: [1,0]\nnode 5: [1,1]\nnode 6: [0,1]\nnode 7: [0,0]\nnode 8: [1,0]\nnode 9: [1,1]\nnode 10: [1,1]\nThe edges are: (0,7) (0,9) (1,4) (1,2) (1,5) (2,3) (2,7) (2,8) (2,10) (3,6) (3,9) (3,10) (4,7) (7,9) (9,10)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [4,4]\nnode 1: [3,4]\nnode 2: [8,7]\nnode 3: [8,5]\nnode 4: [4,3]\nnode 5: [2,1]\nnode 6: [2,3]\nnode 7: [6,6]\nnode 8: [3,2]\nnode 9: [7,7]\nnode 10: [7,7]\n", "difficulty": "hard", "doc_id": "37"}
+{"question": "In an undirected graph, the nodes are numbered from 0 to 4, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [1,1]\nnode 1: [0,1]\nnode 2: [0,1]\nnode 3: [1,1]\nnode 4: [0,1]\nThe edges are: (0,1) (1,4) (2,1) (2,4) (4,3)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:\nLayer 1:\nnode 0: sum of embeddings of node 1, [0,1] = [0,1].\nnode 1: sum of embeddings of node 0, node 2, node 4, [1,1] + [0,1] + [0,1] = [1,3].\nnode 2: sum of embeddings of node 1, node 4, [0,1] + [0,1] = [0,2].\nnode 3: sum of embeddings of node 4, [0,1] = [0,1].\nnode 4: sum of embeddings of node 1, node 2, node 3, [0,1] + [0,1] + [1,1] = [1,3].\n\nAfter layer 1, the node embeddings are updated to:\nnode 0: [0,1]\nnode 1: [1,3]\nnode 2: [0,2]\nnode 3: [0,1]\nnode 4: [1,3]\n\nLayer 2:\nnode 0: sum of embeddings of node 1, [1,3] = [1,3].\nnode 1: sum of embeddings of node 0, node 2, node 4, [0,1] + [0,2] + [1,3] = [1,6].\nnode 2: sum of embeddings of node 1, node 4, [1,3] + [1,3] = [2,6].\nnode 3: sum of embeddings of node 4, [1,3] = [1,3].\nnode 4: sum of embeddings of node 1, node 2, node 3, [1,3] + [0,2] + [0,1] = [1,6].\n\nSo the answer is:\nnode 0: [1,3]\nnode 1: [1,6]\nnode 2: [2,6]\nnode 3: [1,3]\nnode 4: [1,6]\n\nIn an undirected graph, the nodes are numbered from 0 to 11, and every node has an embedding. (i,j) means that node i and node j are connected with an undirected edge.\nEmbeddings:\nnode 0: [0,1]\nnode 1: [1,1]\nnode 2: [1,0]\nnode 3: [1,1]\nnode 4: [0,1]\nnode 5: [0,1]\nnode 6: [0,1]\nnode 7: [0,1]\nnode 8: [0,0]\nnode 9: [0,1]\nnode 10: [1,0]\nnode 11: [0,0]\nThe edges are: (0,3) (1,4) (2,9) (2,8) (2,7) (3,9) (3,10) (3,4) (3,8) (5,10) (5,8) (6,10) (6,11) (8,9) (9,10)\nIn a simple graph convolution layer, each node's embedding is updated by the sum of its neighbors' embeddings.\nQ: What's the embedding of each node after two layers of simple graph convolution layer?\nA:", "answer": "The answer is:\nnode 0: [1,3]\nnode 1: [2,2]\nnode 2: [6,4]\nnode 3: [9,11]\nnode 4: [1,4]\nnode 5: [3,7]\nnode 6: [1,5]\nnode 7: [0,2]\nnode 8: [5,6]\nnode 9: [4,12]\nnode 10: [6,4]\nnode 11: [1,0]\n", "difficulty": "hard", "doc_id": "38"}

nlgraph.py

@@ -0,0 +1,68 @@
+import os
+import datasets
+
+_CITATION = """\
+# (Optional) Add your citation here
+"""
+
+_DESCRIPTION = """\
+NLGraph: A collection of graph-related tasks with natural language representations.
+Each subset corresponds to a task (e.g., connectivity, cycle, shortest_path).
+Each split contains examples stored in JSON Lines format.
+"""
+
+# Map folder name to config (subset)
+TASKS = [
+    "connectivity",
+    "cycle",
+    "flow",
+    "GNN",
+    "hamilton",
+    "matching",
+    "shortest_path",
+    "topology",
+]
+
+class NLGraphConfig(datasets.BuilderConfig):
+    def __init__(self, task_name, **kwargs):
+        super().__init__(name=task_name, **kwargs)
+        self.task_name = task_name
+
+
+class NLGraph(datasets.GeneratorBasedBuilder):
+    BUILDER_CONFIGS = [
+        NLGraphConfig(task_name=task) for task in TASKS
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "input": datasets.Value("string"),
+                "output": datasets.Value("string"),
+                # add more fields depending on your JSONL schema
+            }),
+            supervised_keys=None,
+            homepage="https://huggingface.co/datasets/huayangli/nlgraph",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        task_dir = os.path.join(self.config.data_dir, self.config.task_name)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={"filepath": os.path.join(task_dir, "train.jsonl")},
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(task_dir, "test.jsonl")},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        import json
+        with open(filepath, "r", encoding="utf-8") as f:
+            for idx, line in enumerate(f):
+                data = json.loads(line)
+                yield idx, data