publications

2024

1. 

   GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

   *Lecheng Kong, *Jiarui Feng, *Hao Liu, and 4 more authors

   arXiv preprint arXiv:2407.09709, 2024

   Bib PDF Code

   @article{kong2024gofa,
     title = {GOFA: A Generative One-For-All Model for Joint Graph Language Modeling},
     author = {Kong, *Lecheng and Feng, *Jiarui and Liu, *Hao and Huang, Chengsong and Huang, Jiaxin and Chen, Yixin and Zhang, Muhan},
     journal = {arXiv preprint arXiv:2407.09709},
     year = {2024},
   }

2. 

   TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models

   Jiarui Feng, *Hao Liu, *Lecheng Kong, and 2 more authors

   arXiv preprint arXiv:2406.14683, 2024

   Bib PDF Code

   @article{feng2024taglas,
     title = {TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models},
     author = {Feng, Jiarui and Liu, *Hao and Kong, *Lecheng and Chen, Yixin and Zhang, Muhan},
     journal = {arXiv preprint arXiv:2406.14683},
     year = {2024},
   }

3. 

   One for All: Towards Training One Graph Model for All Classification Tasks

   *Hao Liu, *Jiarui Feng, *Lecheng Kong, and 4 more authors

   In The Twelfth International Conference on Learning Representations, 2024

   Bib PDF Code Slides

   @inproceedings{liu2023one,
     title = {One for All: Towards Training One Graph Model for All Classification Tasks},
     author = {Liu, *Hao and Feng, *Jiarui and Kong, *Lecheng and Liang, Ningyue and Tao, Dacheng and Chen, Yixin and Zhang, Muhan},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
   }

4. 

   Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks

   Hao Liu, Jiarui Feng, Lecheng Kong, and 3 more authors

   In The Web Conference 2024, 2024

   Bib PDF Code

   @inproceedings{liu2023graph,
     title = {Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks},
     author = {Liu, Hao and Feng, Jiarui and Kong, Lecheng and Tao, Dacheng and Chen, Yixin and Zhang, Muhan},
     booktitle = {The Web Conference 2024},
     year = {2024},
   }

2023

1. NeurIPS TRL 2023

   TabContrast: A Local-Global Level Method for Tabular Contrastive Learning

   Hao Liu, Yixin Chen, Bradley Fritz, and 1 more author

   In NeurIPS 2023 Second Table Representation Learning Workshop, 2023

   Bib

   @inproceedings{liu2023tabcontrast,
     title = {TabContrast: A Local-Global Level Method for Tabular Contrastive Learning},
     author = {Liu, Hao and Chen, Yixin and Fritz, Bradley and King, Christopher},
     booktitle = {NeurIPS 2023 Second Table Representation Learning Workshop},
     year = {2023},
   }

2. NeurIPS 2023

   MAG-GNN: Reinforcement Learning Boosted Graph Neural Network

   Lecheng Kong, Jiarui Feng, Hao Liu, and 3 more authors

   In Thirty-seventh Conference on Neural Information Processing Systems, 2023

   Bib

   @inproceedings{kong2023mag,
     title = {MAG-GNN: Reinforcement Learning Boosted Graph Neural Network},
     author = {Kong, Lecheng and Feng, Jiarui and Liu, Hao and Tao, Dacheng and Chen, Yixin and Zhang, Muhan},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
   }

3. NeurIPS 2023

   Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman

   Jiarui Feng, Lecheng Kong, Hao Liu, and 4 more authors

   In Thirty-seventh Conference on Neural Information Processing Systems, 2023

   Bib

   @inproceedings{feng2023extending,
     title = {Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman},
     author = {Feng, Jiarui and Kong, Lecheng and Liu, Hao and Tao, Dacheng and Li, Fuhai and Zhang, Muhan and Chen, Yixin},
     booktitle = {Thirty-seventh Conference on Neural Information Processing Systems},
     year = {2023},
   }

4. Preprint

   Time Associated Meta Learning for Clinical Prediction

   Hao Liu, Muhan Zhang, Zehao Dong, and 5 more authors

   arXiv preprint arXiv:2303.02570, 2023

   Bib

   @article{liu2023time,
     title = {Time Associated Meta Learning for Clinical Prediction},
     author = {Liu, Hao and Zhang, Muhan and Dong, Zehao and Kong, Lecheng and Chen, Yixin and Fritz, Bradley and Tao, Dacheng and King, Christopher},
     journal = {arXiv preprint arXiv:2303.02570},
     year = {2023}
   }