Publications

2026

• An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation Recommendation & E-Commerce Reliability Code
  Haoyu Han, Li Ma, Hanbing Wang, Bingheng Li, Daochen Zha, Chun How Tan, Huiji Gao, Xin Liu, Stephanie Moyerman, Sanjeev Katariya, Hui Liu, Jiliang Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track, 2026.

• Understanding Graph Self-Supervised Pre-training under Distribution Shifts: A Scaling Law Perspective Foundation Models for Graphs Adaptivity Reliability
  Bingheng Li, Shikun Liu, Yu Song, Jay Revolinsky, Haoyu Han, Subhabrata Mukherjee, Jiayuan Ding, Jiliang Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2026.

• Beyond Static Retrieval: Opportunities and Pitfalls of Iterative Retrieval in GraphRAG GraphRAG
  Kai Guo, Xinnan Dai, Shenglai Zeng, Harry Shomer, Haoyu Han, Yu Wang, Jiliang Tang
  In Conference on Empirical Methods in Natural Language Processing (EMNLP), Main Conference, 2026.

• ConnectionMind: Leveraging Social Networks and Large Language Models for Personalized Recommendation at Meta Recommendation & E-Commerce Structured LLM Reasoning
  Haoyu Han, Yuming Liu, Lei Huang, Lizhu Zhang, Jiliang Tang, Xiangjun Fan
  In ACM International Conference on Information and Knowledge Management (CIKM), Applied Research Track, 2026.

• Why Retrieval-Augmented Generation Fails: A Graph Perspective GraphRAG
  Kai Guo, Xinnan Dai, Zhibo Zhang, Nuohan Lin, Shenglai Zeng, Jie Ren, Haoyu Han, Jiliang Tang
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026.

• RAG vs. GraphRAG: A Systematic Evaluation and Key Insights GraphRAG Code
  Haoyu Han, Li Ma, Yu Wang, Harry Shomer, Kai Guo, Yongjia Lei, Zhisheng Qi, Zhigang Hua, Bo Long, Hui Liu, Charu C. Aggarwal, Jiliang Tang
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track, 2026.

• Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation GraphRAG ★ Oral · Top 4.5% Code Dataset
  Zhisheng Qi, Utkarsh Sahu, Li Ma, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Mahantesh M Halappanavar, Nesreen K. Ahmed, Yushun Dong, Yue Zhao, Yu Zhang, Yu Wang
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Datasets and Benchmarks Track, 2026.

• From Flat to Structural: Enhancing Automated Short Answer Grading with GraphRAG Education GraphRAG
  Yucheng Chu, Haoyu Han, Shen Dong, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Joseph Krajcik, Namsoo Shin, Hui Liu
  In Proceedings of the International Conference on Educational Data Mining (EDM), 2026

• Reasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs Structured LLM Reasoning ★ Oral Code
  Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
  In The Web Conference (WWW), 2026.

• Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution Foundation Models for Graphs
  Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
  In The AAAI Conference on Artificial Intelligence (AAAI), 2026.

2025

• Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation Recommendation & E-Commerce Code
  Juanhui Li, Haoyu Han, Zhikai Chen, Harry Shomer, Wei Jin, Amin Javari, Hui Liu
  In International Joint Conference on Natural Language Processing and the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP–AACL), 2025.

• Human-AI Collaboration for Knowledge-in-Use Assessment Design: Leveraging LLMs with RAG Education
  Juanhui Li, Tingting Li, Hang Li, Haoyu Han, Pengfei He, Peng He and Hui Liu
  In IEEE International Conference on Teaching, Assessment and Learning for Engineering (IEEE TALE), 2025.

• Empowering GraphRAG with Knowledge Filtering and Integration GraphRAG
  Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
  In Empirical Methods in Natural Language Processing (EMNLP), 2025.

• Unveiling Mode Connectivity in Graph Neural Networks Reliability
  Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang.
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.

• Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning Structured LLM Reasoning
  Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
  In Findings of the Association for Computational Linguistics (ACL Findings), 2025.

• Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases GraphRAG Code
  Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
  In Findings of the Association for Computational Linguistics (ACL Findings), 2025.

• Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation Education GraphRAG
  Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
  In International Conference on Educational Data Mining (EDM), 2025.

• GT2VEC: Large Language Models as Multi-Modal Encoders for Text and Graph-Structured Data Foundation Models for Graphs Code
  Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), SKnow-LLM Workshop, 2025.

2024

• Mixture of Link Predictors on Graphs Adaptivity Code
  Haoyu Han^*, Li Ma^*, Juanhui Li, Harry Shomer, Hui Liu, Xiaofeng Gao, Jiliang Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2024.

• Spectral-Aware Augmentation for Enhanced Graph Representation Learning Adaptivity
  Kaiqi Yang, Haoyu Han, Wei Jin, Hui Liu
  In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.

• Label-free Node Classification on Graphs with Large Language Models (LLMs) Foundation Models for Graphs Code
  Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
  In Proceedings of the International Conference on Learning Representations (ICLR), 2024.

• Structural Fairness-aware Active Learning for Graph Neural Networks Reliability Code
  Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
  In Proceedings of the International Conference on Learning Representations (ICLR), 2024.

2023

• Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation Recommendation & E-Commerce Code Amazon Science Dataset
  Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2023.

• Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? Adaptivity Code
  Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2023.

• Towards Label Position Bias in Graph Neural Networks Reliability Code
  Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
  In Proceedings of the Advances in Neural Information Processing Systems (NeurIPS), 2023.

• Enhancing Graph Representations Learning with Decorrelated Propagation Reliability Code
  Haoyu Han^*, Hua Liu^*, Wei Jin, Xiaorui Liu, Hui Liu
  In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.

• LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Scalability Code
  Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
  In International Conference on Machine Learning (ICML), 2023.

• Alternately Optimized Graph Neural Networks Scalability Code
  Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
  In International Conference on Machine Learning (ICML), 2023.

2022

• Inverse APPNP: Solution for OGB-LSC 2022 MAG240M Scalability Code Results
  Haoyu Han^*, Hang Li^*, Hongzhi Wen^*, Wei Jin, Feng Shi, Victor Lee, Jiliang Tang
  In Conference on Neural Information Processing Systems (NeurIPS), Competition Track, 2022.

2020

• STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation Recommendation & E-Commerce
  Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Hongwei Wang, Enhong Chen, Jianhui Ma, and Qi Liu
  In IEEE International Conference on Data Mining (ICDM), 2020.

2019

• Constructing Educational Concept Maps with Multiple Relationships from Multi-source Data Education
  Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, and Shijin Wang
  In IEEE International Conference on Data Mining (ICDM), 2019.

Preprints and Submissions

• Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Adaptivity
  Haoyu Han, Juanhui Li, Wei Huang, Xianfeng Tang, Hanqing Lu, Chen Luo, Hui Liu, Jiliang Tang
  Submitted to International Conference on Machine Learning (ICML), 2026.

• Retrieval-Augmented Generation with Graphs (GraphRAG) GraphRAG Resources
  Haoyu Han^*, Yu Wang^*, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
  arXiv preprint arXiv:2501.00309, 2025.