Hao Liu

Email: liuhao @ wustl.edu

Office: Mckelvey Hall 2010

Saint Louis, MO

I’m a fifth year Ph.D. candidate at Washington University in St. Louis. I’m fortunately advised by Dr. Yixin Chen. Prior to joining WashU, I obtained my bachelor’s degree in Mathematics from Beijing Normal University. My research primarily focuses on addressing few-shot and zero-shot challenges in graph and tabular domains. Additionally, I have a keen interest in applying these to real-world clinical problems. Please check out my resume here: Resume.

My recent interest is to design a graph foundation model leveraging LLMs. OneForAll enables a single GNN to work on classification tasks across various datasets and task-levels. GOFA introduces a generative graph foundation model that combines GNN and LLM layers for large-scale pretraining through graph-level next-token prediction.

selected works

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

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},
}

education

2019.09 - now, Ph.D. student, Computer Science and Engineering, Washington University in St. Louis.
2015.09 - 2019.06, Bachelor, Mathematics, Beijing Normal University.

personal

I'm from Jilin, China.
🎮 Roguelike Game Lover.