Publications - Zehong Wang

Preprints

Temporal Graph Pattern Machine

Yijun Ma*, Zehong Wang*, Weixiang Sun, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

Temporal Graph Pattern Machine

Yijun Ma*, Zehong Wang*, Weixiang Sun, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

Molecular Representations in Implicit Functional Space via Hyper-Networks

Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

Molecular Representations in Implicit Functional Space via Hyper-Networks

Zehong Wang, Xiaolong Han, Qi Yang, Xiangru Tang, Fang Wu, Xiaoguang Guo, Weixiang Sun, Tianyi Ma, Pietro Lio, Le Cong, Sheng Wang, Chuxu Zhang, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents

Zehong Wang, Fang Wu, Hongru Wang, Xiangru Tang, Bolian Li, Zhenfei Yin, Yijun Ma, Yiyang Li, Weixiang Sun, Xiusi Chen, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

Why Reasoning Fails to Plan: A Planning-Centric Analysis of Long-Horizon Decision Making in LLM Agents

Zehong Wang, Fang Wu, Hongru Wang, Xiangru Tang, Bolian Li, Zhenfei Yin, Yijun Ma, Yiyang Li, Weixiang Sun, Xiusi Chen, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis

Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

LongDA: Benchmarking LLM Agents for Long-Document Data Analysis

Yiyang Li, Zheyuan Zhang, Tianyi Ma, Zehong Wang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

Semantic Refinement with LLMs for Graph Representations

Safal Thapaliya*, Zehong Wang*, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang (* equal contribution)

arXiv preprint 2025

[Paper] [Code]

Semantic Refinement with LLMs for Graph Representations

Safal Thapaliya*, Zehong Wang*, Jiazheng Li, Ziming Li, Yanfang Ye, Chuxu Zhang (* equal contribution)

arXiv preprint 2025

[Paper] [Code]

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering

Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

arXiv preprint 2025

[Paper] [Code]

AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering

Zheyuan Zhang, Kaiwen Shi, Zhengqing Yuan, Zehong Wang, Tianyi Ma, Keerthiram Murugesan, Vincent Galassi, Chuxu Zhang, Yanfang Ye

arXiv preprint 2025

[Paper] [Code]

2026

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance

Jiachi Zhao*, Zehong Wang*, Yamei Liao, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)

The Web Conference (WWW) 2026

[Paper] [Code]

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance

Jiachi Zhao*, Zehong Wang*, Yamei Liao, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)

The Web Conference (WWW) 2026

[Paper] [Code]

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Yiyang Li*, Zehong Wang*, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye (* equal contribution)

Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2026

[Paper] [Code]

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use

Yiyang Li*, Zehong Wang*, Zhengqing Yuan, Zheyuan Zhang, Keerthiram Murugesan, Chuxu Zhang, Yanfang Ye (* equal contribution)

Conference of the European Chapter of the Association for Computational Linguistics (EACL) 2026

[Paper] [Code]

2025

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

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

[Paper] [Code]

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

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

[Paper] [Code]

Generative Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

[Paper] [Code]

Generative Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

Annual Conference on Neural Information Processing Systems (NeurIPS) 2025

[Paper] [Code]

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, 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 V. Chawla

arXiv preprint 2025 Survey

[Paper]

LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines

arXiv preprint 2025 Survey

[Paper]

Hypergraph Representation Learning with Adaptive Broadcasting and Receiving

Tianyi Ma, Yiyun Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye

IEEE International Conference on Data Mining (ICDM) 2025 Best Paper Award Candidate

[Paper] [Code]

Hypergraph Representation Learning with Adaptive Broadcasting and Receiving

Tianyi Ma, Yiyun Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye

IEEE International Conference on Data Mining (ICDM) 2025 Best Paper Award Candidate

[Paper] [Code]

Beyond Message Passing: Neural Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Beyond Message Passing: Neural Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025 Tutorial

[Paper] [Website]

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025 Tutorial

[Paper] [Website]

Graph Foundation Models: Challenges, Methods, and Open Questions

Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh Chawla, Yanfang Ye

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025 Tutorial

[Paper] [Website]

Graph Foundation Models: Challenges, Methods, and Open Questions

Zehong Wang, Chuxu Zhang, Jundong Li, Nitesh Chawla, Yanfang Ye

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025 Tutorial

[Paper] [Website]

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection

Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[Paper] [Code]

LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection

Tianyi Ma, Yiyue Qian, Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[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, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V Chawla, Others

Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[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, Vincent Galassi, Keerthiram Murugesan, Nuno Moniz, Werner Geyer, Nitesh V Chawla, Others

Annual Meeting of the Association for Computational Linguistics (ACL) 2025

[Paper] [Code]

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

arXiv preprint 2025 Survey

[Paper] [Repo]

Graph Foundation Models: A Comprehensive Survey

arXiv preprint 2025 Survey

[Paper] [Repo]

Training MLPs on Graphs Without Supervision

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

ACM International Conference on Web Search and Data Mining (WSDM) 2025

[Paper] [Code]

Training MLPs on Graphs Without Supervision

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

ACM International Conference on Web Search and Data Mining (WSDM) 2025

[Paper] [Code]

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, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Paper] [Code]

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, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025

[Paper] [Code]

Can LLMs Convert Graphs to Text-Attributed Graphs?

Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) 2025

[Paper] [Code]

Can LLMs Convert Graphs to Text-Attributed Graphs?

Zehong Wang, Sidney Liu, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye

Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL) 2025

[Paper] [Code]

2024

GFT: Graph Foundation Model with Transferable Tree Vocabulary

Zehong Wang, Zheyuan Zhang, Nitesh Chawla, Chuxu Zhang, Yanfang Ye

Annual Conference on Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

GFT: Graph Foundation Model with Transferable Tree Vocabulary

Zehong Wang, Zheyuan Zhang, Nitesh Chawla, Chuxu Zhang, Yanfang Ye

Annual Conference on Neural Information Processing Systems (NeurIPS) 2024

[Paper] [Code]

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning with Positive Sampling

Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024

[Paper] [Code]

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning with Positive Sampling

Zehong Wang, Donghua Yu, Shigen Shen, Shichao Zhang, Huawen Liu, Shuang Yao, Maozu Guo

IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2024

[Paper] [Code]

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024

[Paper] [Code]

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

Zheyuan Zhang*, Zehong Wang*, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V Chawla, Chuxu Zhang, Yanfang Ye (* equal contribution)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2024

[Paper] [Code]