Add pipeline tag, library name, paper link, GitHub link, and BibTeX citation

This PR enhances the model card by:
- Adding `pipeline_tag: graph-ml` for better discoverability, as the model performs molecular representation learning involving graph structures.
- Specifying `library_name: transformers` to enable the automated "how to use" widget, given the model's compatibility with the Hugging Face Transformers library (as evidenced by `config.json` and usage snippets).
- Including a direct link to the paper: [Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning](https://huggingface.co/papers/2510.23640) at the top.
- Adding a direct link to the official GitHub repository: https://github.com/selmiss/MuMo for easy access to the code.
- Updating the "Training script" detail to link directly to the GitHub repository.
- Incorporating the full BibTeX citation provided in the GitHub README for proper academic attribution.

Please review and merge if these improvements align with your goals.

README.md

@@ -5,11 +5,14 @@ tags:
 - drug-discovery
 - molecular-modeling
 - mumo
+pipeline_tag: graph-ml
+library_name: transformers
 ---
 
 # mumo-pretrain
 
-This model was trained using MuMo (Multi-Modal Molecular) framework.
+This model was trained using MuMo (Multi-Modal Molecular) framework, as presented in the paper [Structure-Aware Fusion with Progressive Injection for Multimodal Molecular Representation Learning](https://huggingface.co/papers/2510.23640).
+The official code repository is available at: https://github.com/selmiss/MuMo
 
 ## Model Description
 
@@ -36,10 +39,18 @@ outputs = model(**inputs)
 
 ## Training Details
 
-- Training script: See repository for details
+- Training script: See the [official GitHub repository](https://github.com/selmiss/MuMo) for details.
 - Framework: Transformers + DeepSpeed
 
 ## Citation
 
-If you use this model, please cite the original MuMo paper.
+If you use this model or the MuMo framework, please cite our paper:
 
+```bibtex
+@inproceedings{jing2025mumo,
+  title        = {MuMo: Multimodal Molecular Representation Learning via Structural Fusion and Progressive Injection},
+  author       = {Jing, Zihao and Sun, Yan and Li, Yan Yi and Janarthanan, Sugitha and Deng, Alana and Hu, Pingzhao},
+  booktitle    = {Advances in Neural Information Processing Systems (NeurIPS)},
+  year         = {2025}
+}
+```