I am a third year Ph.D. student (2023 Fall - Present) in Computer Science and Engineering at University of Notre Dame. I am supervised by Prof. Yanfang (Fanny) Ye. Under Prof. Ye’s supervision, I collaborate with my lab mates and Prof. Chuxu Zhang. My research focuses on machine learning, with a particular emphasis on developing effective, efficient, and generalizable models. Specifically, the topics cover the following three aspects.

• Large Foundation Models: Substructure Vocabulary (ICML 25, NeurIPS 25), Data Synthesis (NAACL 25), Agent Collaboration (NeurIPS 25), RAG (ACL 25)
• Graph Neural Networks: Graph Foundation Model (Survey, NeurIPS 24, ICML 25, IJCAI 24, WSDM 25).
• AI4Science (Survey): Biology (preprint), Healthcare (KDD 24, KDD 25), Social Science (ACL 25).

Feel free to reach out me (zwang43 [AT] nd [DOT] edu) if you have any questions, explore potential collaborations, or just for talk!

News

• [2025.09] Our survey on LLM for cross-disciplinary research is released.
• [2025.09] Two papers (G2PM, AutoData) were accepted by NeurIPS 2025.
• [2025.05] I will join Amazon as Applied Scientist Intern working with Prof. Rui Song, Prof. Sheng Wang and Dr. Qingkai Zeng.
• [2025.05] Our survey on graph foundation model is released.
• [2025.05] Two papers (NGQA, LLM-HetGDT) were accepted by ACL 2025.
• [2025.05] Two tutorials were accepted by KDD 25
• [2025.05] Two papers (GPM, GIT) were accepted by ICML 2025.
• [2025.01] One paper (TANS) was accepted by NAACL 2025.
• [2024.11] One paper (MOPI-HFRS) was accepted by KDD 2025.
• [2024.10] One paper (SimMLP) was accepted by WSDM 2025.
• [2024.09] One paper (GFT) was accepted by NeurIPS 2024.
• [2024.05] One paper (Diet-ODIN) was accepted by KDD 2024.
• [2024.04] One paper (Subgraph Pooling) was accepted by IJCAI 2024.
• [2024.03] Receive the Travel Award Grand from SDM 2024. Thanks SDM!

Selected Publications Full List

(* indicates equal contribution.)

Survey

• Graph Foundation Models: A Comprehensive Survey
  Zehong Wang, Zheyuan Liu, Tianyi Ma, Jiazheng Li, Zheyuan Zhang, Xingbo Fu, Yiyang Li, Zhengqing Yuan, Wei Song, Yijun Ma, Qingkai Zeng, Xiusi Chen, Jianan Zhao, Jundong Li, Meng Jiang, Pietro Lio, Nitesh Chawla, Chuxu Zhang, Yanfang Ye.
  [paper] [repo]

• LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines
  Yanfang Ye, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Yiyang Li, Shifu Hou, Weixiang Sun, Kaiwen Shi, Yijun Ma, Wei Song, Ahmed Abbasi, Ying Cheng, Jane Cleland-Huang, Steven Corcelli, Patricia Culligan, Robert Goulding, Ming Hu, Ting Hua, John Lalor, Fang Liu, Tengfei Luo, Ed Maginn, Nuno Moniz, Jason Rohr, Brett Savoie, Daniel Slate, Tom Stapleford, Matthew Webber, Olaf Wiest, Johnny Zhang, Nitesh Chawla.
  [paper]

Tutorial

• [KDD 25] Graph Foundation Models: Challenges, Methods, and Open Questions
  Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh V Chawla, Yanfang Ye.
  

• [KDD 25] Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
  Xingbo Fu, Zehong Wang, Zihan Chen, Jiazheng Li, Yaochen Zhu, Zhenyu Lei, Cong Shen, Yanfang Ye, Chuxu Zhang, Jundong Li.

2025

• [NeurIPS 25] Generative Graph Pattern Machine
  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [NeurIPS 25] AutoData: A Multi-Agent System for Open Web Data Collection
  Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Xiaoye Qian, Feifan Bai, Yifan Ding, Xuwei Luo, Shinan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [ICML 25] Beyond Message Passing: Neural Graph Pattern Machine
  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [ICML 25] Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-trees
  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [NAACL 25 Main] Can LLMs Convert Graphs to Text-Attributed Graphs? (Oral)
  Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [WSDM 25] Training MLPs on Graphs without Supervision
  Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

2024

• [NeurIPS 24] GFT: Graph Foundation Model with Transferable Tree Vocabulary
  Zehong Wang, Zheyuan Zhang, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [KDD 24] Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Pattern
  Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
  [paper] [code]

• [IJCAI 24] Subgraph Pooling: Tackling Negative Transfer on Graphs
  Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye.
  [paper] [code] [poster]

2023

• [SDM 23] Heterogeneous Graph Contrastive Multi-view Learning
  Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen.
  [paper] [code]

Services

Journal Reviewer: TMLR, TKDE, TKDD, TDSC, TBD, TNNLS

Conference Reviewer/Program Committee: NeurIPS 2025 2024, ICLR 2026 2025 2024, ICML 2025, KDD 2025, ACL 2025, AISTATS 2026 2025, AAAI 2026 2025 2024, COLING 2025 2024, etc.

Contact

• Email: zwang43 [at] nd [dot] edu