Alternately Optimized Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Torkamani Ali; Feng Shi; Victor Lee; Jiliang Tang (CoRR, 2022)

Alternately Optimized Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Haitao Mao; MohamadAli Torkamani; Feng Shi; Victor Lee; Jiliang Tang (ICML, 2023)

LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. - Rui Xue 006; Haoyu Han 001; MohamadAli Torkamani; Jian Pei 001; Xiaorui Liu (ICML, 2023)

Enhancing Graph Representations Learning with Decorrelated Propagation. - Hua Liu; Haoyu Han 001; Wei Jin 009; Xiaorui Liu; Hui Liu 031 (KDD, 2023)

Large-Scale Graph Neural Networks: The Past and New Frontiers. - Rui Xue 006; Haoyu Han 001; Tong Zhao 003; Neil Shah; Jiliang Tang; Xiaorui Liu (KDD, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Towards Label Position Bias in Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Feng Shi; MohamadAli Torkamani; Charu C. Aggarwal; Jiliang Tang (NeurIPS, 2023)

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? - Haitao Mao; Zhikai Chen; Wei Jin 009; Haoyu Han 001; Yao Ma 001; Tong Zhao 003; Neil Shah; Jiliang Tang (NeurIPS, 2023)

Augment with Care: Enhancing Graph Contrastive Learning with Selective Spectrum Perturbation. - Kaiqi Yang 001; Haoyu Han 001; Wei Jin 009; Hui Liu 031 (CoRR, 2023)

Spectral-Aware Augmentation for Enhanced Graph Representation Learning. - Kaiqi Yang 001; Haoyu Han 001; Wei Jin 009; Hui Liu 031 (CIKM, 2024)

Label-free Node Classification on Graphs with Large Language Models (LLMs). - Zhikai Chen; Haitao Mao; Hongzhi Wen; Haoyu Han 001; Wei Jin 009; Haiyang Zhang; Hui Liu 031; Jiliang Tang (ICLR, 2024)

Structural Fairness-aware Active Learning for Graph Neural Networks. - Haoyu Han 001; Xiaorui Liu; Li Ma 012; MohamadAli Torkamani; Hui Liu 031; Jiliang Tang; Makoto Yamada (ICLR, 2024)

Mixture of Link Predictors on Graphs. - Li Ma 012; Haoyu Han 001; Juanhui Li; Harry Shomer; Hui Liu 031; Xiaofeng Gao 001; Jiliang Tang (NeurIPS, 2024)

Mixture of Link Predictors. - Li Ma 012; Haoyu Han 001; Juanhui Li; Harry Shomer; Hui Liu 031; Xiaofeng Gao 001; Jiliang Tang (CoRR, 2024)

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation. - Juanhui Li; Haoyu Han 001; Zhikai Chen; Harry Shomer; Wei Jin 009; Amin Javari; Jiliang Tang (CoRR, 2024)

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. - Haoyu Han 001; Juanhui Li; Wei Huang; Xianfeng Tang; Hanqing Lu; Chen Luo 003; Hui Liu 003; Jiliang Tang (CoRR, 2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. - Haoyu Han 001; Yaochen Xie; Hui Liu 003; Xianfeng Tang; Sreyashi Nag; William Headden; Yang Li 055; Chen Luo 003; Shuiwang Ji; Qi He 002; Jiliang Tang (ACL (Findings), 2025)

Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases. - Yongjia Lei; Haoyu Han 001; Ryan A. Rossi; Franck Dernoncourt; Nedim Lipka; Mahantesh M. Halappanavar; Jiliang Tang; Yu Wang 160 (ACL (Findings), 2025)

Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. - Yucheng Chu; Peng He; Hang Li 007; Haoyu Han 001; Kaiqi Yang 001; Yu Xue; Tingting Li; Joseph Krajcik; Jiliang Tang (EDM, 2025)

Large Language Model for E-Commerce Workshop. - Haoyu Han 001; Xianfeng Tang; Jing Huang; Monica Xiao Cheng; Omar Alonso; Hanqing Lu; Zhen Li; Chen Luo 003; Dawei Yin; Jiliang Tang (WWW (Companion Volume), 2025)

Retrieval-Augmented Generation with Graphs (GraphRAG). - Haoyu Han 001; Yu Wang 160; Harry Shomer; Kai Guo 003; Jiayuan Ding; Yongjia Lei; Mahantesh Halappanavar; Ryan A. Rossi; Subhabrata Mukherjee; Xianfeng Tang; Qi He 002; Zhigang Hua; et al. (CoRR, 2025)

RAG vs. GraphRAG: A Systematic Evaluation and Key Insights. - Haoyu Han 001; Harry Shomer; Yu Wang 160; Yongjia Lei; Kai Guo 003; Zhigang Hua; Bo Long; Hui Liu 031; Jiliang Tang (CoRR, 2025)

Unveiling Mode Connectivity in Graph Neural Networks. - Bingheng Li; Zhikai Chen; Haoyu Han 001; Shenglai Zeng; Jingzhe Liu; Jiliang Tang (CoRR, 2025)

Empowering GraphRAG with Knowledge Filtering and Integration. - Kai Guo 003; Harry Shomer; Shenglai Zeng; Haoyu Han 001; Yu Wang 160; Jiliang Tang (CoRR, 2025)