Preprints

MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback
MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback

Zehong Wang, Yijun Ma, Connor R. Schmidt, Tianyi Ma, Weixiang Sun, Ziming Li, Xiaoguang Guo, Chuxu Zhang, Matthew J. Webber, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

MDForge: Agentic Molecular Dynamics Pipeline Design under Sparse Simulator Feedback

Zehong Wang, Yijun Ma, Connor R. Schmidt, Tianyi Ma, Weixiang Sun, Ziming Li, Xiaoguang Guo, Chuxu Zhang, Matthew J. Webber, Yanfang Ye

arXiv preprint 2026

[Paper] [Code]

ProPlay: Procedural World Models for Self-Evolving LLM Agents
ProPlay: Procedural World Models for Self-Evolving LLM Agents

Yijun Ma*, Zehong Wang*, Yiyang Li, Ziming Li, Xiaoguang Guo, Weixiang Sun, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

ProPlay: Procedural World Models for Self-Evolving LLM Agents

Yijun Ma*, Zehong Wang*, Yiyang Li, Ziming Li, Xiaoguang Guo, Weixiang Sun, Chuxu Zhang, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

SupraBench: A Benchmark for Supramolecular Chemistry
SupraBench: A Benchmark for Supramolecular Chemistry

Tianyi Ma, Yijun Ma, Zehong Wang, Weixiang Sun, Ziming Li, Connor R. Schmidt, Chuxu Zhang, Matthew J. Webber, Yanfang Ye ( corresponding author)

arXiv preprint 2026

[Paper] [Code]

SupraBench: A Benchmark for Supramolecular Chemistry

Tianyi Ma, Yijun Ma, Zehong Wang, Weixiang Sun, Ziming Li, Connor R. Schmidt, Chuxu Zhang, Matthew J. Webber, Yanfang Ye ( corresponding author)

arXiv preprint 2026

[Paper] [Code]

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions
Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions

Kyrie Zhao*, Zehong Wang*, Tianyi Ma, Fang Wu, Xiangru Tang, Pietro Lio, Sheng Wang, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

Hypergraph Pattern Machine: Compositional Tokenization for Higher-Order Interactions

Kyrie Zhao*, Zehong Wang*, Tianyi Ma, Fang Wu, Xiangru Tang, Pietro Lio, Sheng Wang, Yanfang Ye (* equal contribution, corresponding author)

arXiv preprint 2026

[Paper] [Code]

On the Safety of Graph Representation Learning
On the Safety of Graph Representation Learning

Xiaoguang Guo, Zehong Wang, Ziming Li, Shawn Spitzel, Soonwoo Kwon, Tianyi Ma, Yanfang Ye, Chuxu Zhang

arXiv preprint 2026

[Paper]

On the Safety of Graph Representation Learning

Xiaoguang Guo, Zehong Wang, Ziming Li, Shawn Spitzel, Soonwoo Kwon, Tianyi Ma, Yanfang Ye, Chuxu Zhang

arXiv preprint 2026

[Paper]

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training
NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training

Fang Wu, Haokai Zhao, Da Xing, Hanqun Cao, Tinson Xu, Yanchao Li, Xiangru Tang, Zehong Wang, Aaron Tu, Kuan Pang, Hanchen Wang, Hongbin Lin, Zeqi Zhou, Yinxi Li, Peng Xia, Li Erran Li, Molei Tao, Jure Leskovec, Aditya Joshi, Yejin Choi

arXiv preprint 2026

[Paper]

NoiseRater: Meta-Learned Noise Valuation for Diffusion Model Training

Fang Wu, Haokai Zhao, Da Xing, Hanqun Cao, Tinson Xu, Yanchao Li, Xiangru Tang, Zehong Wang, Aaron Tu, Kuan Pang, Hanchen Wang, Hongbin Lin, Zeqi Zhou, Yinxi Li, Peng Xia, Li Erran Li, Molei Tao, Jure Leskovec, Aditya Joshi, Yejin Choi

arXiv preprint 2026

[Paper]

W2T: LoRA Weights Already Know What They Can Do
W2T: LoRA Weights Already Know What They Can Do

Xiaolong Han, Ferrante Neri, Zijian Jiang, Fang Wu, Yanfang Ye, Lu Yin, Zehong Wang ( corresponding author)

arXiv preprint 2026

[Paper] [Code]

W2T: LoRA Weights Already Know What They Can Do

Xiaolong Han, Ferrante Neri, Zijian Jiang, Fang Wu, Yanfang Ye, Lu Yin, Zehong Wang ( corresponding author)

arXiv preprint 2026

[Paper] [Code]

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs

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

arXiv preprint 2026

[Paper]

BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs

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

arXiv preprint 2026

[Paper]

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis

Yijun Ma*, Zehong Wang*, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Nitesh Chawla, Yanfang Ye (* equal contribution)

arXiv preprint 2026

[Paper] [Code]

Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis

Yijun Ma*, Zehong Wang*, Weixiang Sun, Zheyuan Zhang, Kaiwen Shi, Nitesh Chawla, Yanfang Ye (* equal contribution)

arXiv preprint 2026

[Paper] [Code]

Molecular Representations in Implicit Functional Space via Hyper-Networks
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 (* equal contribution)

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 (* equal contribution)

arXiv preprint 2026

[Paper] [Code]

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

Surveys

Inference-Time Control for Trustworthy Large Language Models
Inference-Time Control for Trustworthy Large Language Models

Yuyang Bai*, Zheyuan Liu*, Han Yan*, Zhangchen Xu*, Yixin Wan*, Canyu Chen*, Zehong Wang*, Xiangchi Yuan*, Yue Huang*, Guangyao Dou*, Yuji Zhang, Hangxiao Zhu, Zhuofeng Li, Manling Li, Xiangliang Zhang, Mohit Bansal, Sanmi Koyejo, Kai-Wei Chang, Yu Zhang, Meng Jiang (* equal contribution)

Preprints.org 2026

[Paper]

Inference-Time Control for Trustworthy Large Language Models

Yuyang Bai*, Zheyuan Liu*, Han Yan*, Zhangchen Xu*, Yixin Wan*, Canyu Chen*, Zehong Wang*, Xiangchi Yuan*, Yue Huang*, Guangyao Dou*, Yuji Zhang, Hangxiao Zhu, Zhuofeng Li, Manling Li, Xiangliang Zhang, Mohit Bansal, Sanmi Koyejo, Kai-Wei Chang, Yu Zhang, Meng Jiang (* equal contribution)

Preprints.org 2026

[Paper]

A Survey of Weight Space Learning: Understanding, Representation, and Generation
A Survey of Weight Space Learning: Understanding, Representation, and Generation

Xiaolong Han*, Zehong Wang*, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri (* equal contribution, corresponding author)

arXiv preprint 2026 Survey

[Paper] [Repo]

A Survey of Weight Space Learning: Understanding, Representation, and Generation

Xiaolong Han*, Zehong Wang*, Bo Zhao, Binchi Zhang, Jundong Li, Damian Borth, Rose Yu, Haggai Maron, Yanfang Ye, Lu Yin, Ferrante Neri (* equal contribution, corresponding author)

arXiv preprint 2026 Survey

[Paper] [Repo]

LLMs4All: A Review on Large Language Models for Research and Applications in Academic Disciplines
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 (* equal contribution)

arXiv preprint 2025 Survey

[Paper]

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 (* equal contribution)

arXiv preprint 2025 Survey

[Paper]

Graph Foundation Models: A Comprehensive 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 (* equal contribution, corresponding author)

arXiv preprint 2025 Survey

[Paper] [Repo]

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 (* equal contribution, corresponding author)

arXiv preprint 2025 Survey

[Paper] [Repo]

Graph Prompting for Graph Learning Models: Recent Advances and Future Directions
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
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]

2026

OPBench: A Graph Benchmark to Combat the Opioid Crisis
OPBench: A Graph Benchmark to Combat the Opioid Crisis

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

[Paper] [Code]

OPBench: A Graph Benchmark to Combat the Opioid Crisis

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

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

[Paper] [Code]

Generalizing GNNs with Tokenized Mixture of Experts
Generalizing GNNs with Tokenized Mixture of Experts

Xiaoguang Guo, Zehong Wang, Jiazheng Li, Shawn Spitzel, Qi Yang, Kaize Ding, Jundong Li, Chuxu Zhang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

[Paper]

Generalizing GNNs with Tokenized Mixture of Experts

Xiaoguang Guo, Zehong Wang, Jiazheng Li, Shawn Spitzel, Qi Yang, Kaize Ding, Jundong Li, Chuxu Zhang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2026

[Paper]

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design
Proteo-R1: Reasoning Foundation Models for De Novo Protein Design

Fang Wu, Weihao Xuan, Heli Qi, Hanqun Cao, Heng-Jui Chang, Zeqi Zhou, Haokai Zhao, Ma Jian, Carl Ma, Yu-Chi Cheng, Kuan Pang, Xiangru Tang, Zehong Wang, Guanlue Li, Hanchen Wang, Kejun Ying, Pan Lu, Chiho Im, Seungju Han, Peng Xia, Tinson Xu, Yinxi Li, Deyao Zhu, Pheng-Ann Heng, Naoto Yokoya, Masashi Sugiyama, Li Erran Li, Jure Leskovec, Yejin Choi

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

Proteo-R1: Reasoning Foundation Models for De Novo Protein Design

Fang Wu, Weihao Xuan, Heli Qi, Hanqun Cao, Heng-Jui Chang, Zeqi Zhou, Haokai Zhao, Ma Jian, Carl Ma, Yu-Chi Cheng, Kuan Pang, Xiangru Tang, Zehong Wang, Guanlue Li, Hanchen Wang, Kejun Ying, Pan Lu, Chiho Im, Seungju Han, Peng Xia, Tinson Xu, Yinxi Li, Deyao Zhu, Pheng-Ann Heng, Naoto Yokoya, Masashi Sugiyama, Li Erran Li, Jure Leskovec, Yejin Choi

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning
LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

LatentChem: From Textual CoT to Latent Thinking in Chemical Reasoning

Xinwu Ye, Yicheng Mao, Jia Zhang, Yimeng Liu, Li Hao, Fang Wu, Zhiwei Li, Yuxuan Liao, Zehong Wang, Zhiyuan Liu, Zhenfei Yin, Li Yuan, Philip Torr, Huan Sun, Xiangxiang Zeng, Mengdi Wang, Le Cong, Shenghua Gao, Xiangru Tang

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

Graph is a Substrate Across Data Modalities
Graph is a Substrate Across Data Modalities

Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

Graph is a Substrate Across Data Modalities

Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang

International Conference on Machine Learning (ICML) 2026

[Paper] [Code]

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

Annual Meeting of the Association for Computational Linguistics (ACL) 2026

[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

Annual Meeting of the Association for Computational Linguistics (ACL) 2026

[Paper] [Code]

Temporal Graph Pattern Machine
Temporal Graph Pattern Machine

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

GFM @ ICML Workshop (Oral) 2026

[Paper] [Code]

Temporal Graph Pattern Machine

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

GFM @ ICML Workshop (Oral) 2026

[Paper] [Code]

Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
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) (Oral) 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) (Oral) 2026

[Paper] [Code]

Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
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
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
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]

Hypergraph Representation Learning with Adaptive Broadcasting and Receiving
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
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
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]

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

Training MLPs on Graphs Without Supervision
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
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?
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
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
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
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

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

[Paper] [Code]

Subgraph Pooling: Tackling Negative Transfer on Graphs

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

International Joint Conference on Artificial Intelligence (IJCAI) 2024

[Paper] [Code]

Subgraph Pooling: Tackling Negative Transfer on Graphs

Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye

International Joint Conference on Artificial Intelligence (IJCAI) 2024

[Paper] [Code]

2023

Heterogeneous Graph Contrastive Multi-View Learning
Heterogeneous Graph Contrastive Multi-View Learning

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen

SIAM International Conference on Data Mining (SDM) 2023

[Paper] [Code]

Heterogeneous Graph Contrastive Multi-View Learning

Zehong Wang, Qi Li, Donghua Yu, Xiaolong Han, Xiao-Zhi Gao, Shigen Shen

SIAM International Conference on Data Mining (SDM) 2023

[Paper] [Code]