I am a second 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. My research focuses on machine learning, with a particular emphasis on developing effective, efficient, and generalizable models. Under Prof. Ye’s supervision, I collaborate with my lab mates and Prof. Chuxu Zhang. Currently, I am deeply engaged in designing next generation graph learning models, exploring their methodologies, theoretical basis, and applications. Specifically, the topics cover the following three aspects.

• Next-Gen Paradigm - Graph Foundation Model: transferable patterns (NeurIPS 24), structural heterogeneity (IJCAI 24), feature heterogeneity (NAACL 25), task heterogeneity (preprint), efficiency inference (WSDM 25).
• Next-Gen Model Architecture - Beyond Message Passing: supervised learning (preprint).
• Next-Gen Application - Graph + X: graph-based explanation (KDD 24, KDD 25), GraphRAG (preprint).

If you’re interested in my research or would like to explore potential collaborations, feel free to reach out via email (zwang43 [AT] nd [DOT] edu). Looking forward to connecting!

News

• [2025.02] I will join Amazon as Applied Scientist Intern this Summer working with Prof. Rui Song and Dr. Qingkai Zeng.
• [2025.01] One paper was accepted by NAACL 2025. We developed TANS to synthesize textual node descriptions on graphs.
• [2024.11] One paper was accepted by KDD 2025. Congratulations to Zheyuan!
• [2024.10] One paper was accepted by WSDM 2025. We developed SimMLP, an efficient inference method on graphs!
• [2024.09] One paper was accepted by NeurIPS 2024. We developed a transferable, cross-domain, cross-task graph foundation model GFT.
• [2024.05] One paper was accepted by KDD 2024. Congratulations to Zheyuan!
• [2024.04] One paper was accepted by IJCAI 2024. We analyzed the impact of structural differences on graph transfer learning (link).
• [2024.03] Receive the Travel Award Grand from SDM 2024. Thanks SDM!

Selected Publications Full List

(* indicates equal contribution.)

Preprint

• Neural Graph Pattern Machine
  Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye.
  [paper]

• 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]

• NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
  Zheyuan Zhang*, Yiyang Li*, Nhi Ha Lan Le*, Zehong Wang, Tianyi Ma, et al.
  [paper]

• LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
  Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
  [paper]

2025

• [NAACL 25] Can LLMs Convert Graphs to Text-Attributed Graphs?
  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]

• [KDD 25] MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
  Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, et al. [paper]

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, et al.
  [paper] [code]

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

• [TNNLS] Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling
  Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, et al.
  [paper] [code]

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 2025 2024, ICML 2025, KDD 2025, AISTATS 2025, AAAI 2025 2024, COLING 2025 2024.

Contact

• Email: zwang43 [at] nd [dot] edu
• Office: 247 Fitzpatrick Hall of Engineering
• Location: University of Notre Dame, Notre Dame, IN 46565