Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation. - Haoran Yang 001; Hongxu Chen 002; Lin Li 001; Philip S. Yu; Guandong Xu (ICDM, 2021)

Graph Data Mining in Recommender Systems. - Hongxu Chen 002; Yicong Li 001; Haoran Yang 001 (WISE (2), 2021)

Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks. - Dawei Xu; Haoran Yang 001; Marian-Andrei Rizoiu; Guandong Xu (ADMA (1), 2022)

Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles. - Lin Meng; Haoran Yang 001; Jiawei Zhang 001 (IJCNN, 2022)

Dual Space Graph Contrastive Learning. - Haoran Yang 001; Hongxu Chen 002; Shirui Pan; Lin Li 001; Philip S. Yu; Guandong Xu (WWW, 2022)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang 001; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Guandong Xu (CoRR, 2022)

Federated Graph Contrastive Learning. - Haoran Yang 001; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (CoRR, 2022)

From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT. - Dawei Xu; Haoran Yang 001; Marian-Andrei Rizoiu; Guandong Xu (BESC, 2023)

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations. - Haoran Yang 001; Xiangyu Zhao 001; Yicong Li 001; Hongxu Chen 002; Guandong Xu (NeurIPS, 2023)

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. - Haoran Yang 001; Hongxu Chen 002; Sixiao Zhang; Xiangguo Sun; Qian Li 003; Xiangyu Zhao 001; Guandong Xu (WWW, 2023)

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning. - Haoran Yang 001; Xiangyu Zhao 001; Muyang Li; Hongxu Chen 002; Guandong Xu (Inf. Sci., 2023)

LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning. - Haoran Yang 001; Xiangyu Zhao 001; Sirui Huang; Qing Li 001; Guandong Xu (CoRR, 2024)

Multi-Level Graph Knowledge Contrastive Learning. - Haoran Yang 001; Yuhao Wang 006; Xiangyu Zhao 001; Hongxu Chen 002; Hongzhi Yin; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)