DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation. - Tiankai Gu; Chaokun Wang; Cheng Wu 004 (CICAI, 2021)

HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. - Tiankai Gu; Chaokun Wang; Cheng Wu 004; Yunkai Lou; Jingcao Xu; Changping Wang; Kai Xu; Can Ye; Yang Song 008 (ICDE, 2022)

HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks. - Tiankai Gu; Chaokun Wang; Cheng Wu 004; Jingcao Xu; Yunkai Lou; Changping Wang; Kai Xu; Can Ye; Yang Song 008 (CoRR, 2022)

Instant Representation Learning for Recommendation over Large Dynamic Graphs. - Cheng Wu 004; Chaokun Wang; Jingcao Xu; Ziwei Fang; Tiankai Gu; Changping Wang; Yang Song 008; Kai Zheng 001; Xiaowei Wang; Guorui Zhou (ICDE, 2023)

Graph Contrastive Learning with Generative Adversarial Network. - Cheng Wu 004; Chaokun Wang; Jingcao Xu; Ziyang Liu 004; Kai Zheng 001; Xiaowei Wang; Yang Song 008; Kun Gai (KDD, 2023)

Multi-behavior Self-supervised Learning for Recommendation. - Jingcao Xu; Chaokun Wang; Cheng Wu 004; Yang Song 008; Kai Zheng 001; Xiaowei Wang; Changping Wang; Guorui Zhou; Kun Gai (SIGIR, 2023)

PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. - Ziyang Liu 004; Chaokun Wang; Jingcao Xu; Cheng Wu 004; Kai Zheng 001; Yang Song 008; Na Mou; Kun Gai (CoRR, 2023)

Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. - Ziyang Liu 004; Chaokun Wang; Liqun Yang; Yunkai Lou; Hao Feng 007; Cheng Wu 004; Kai Zheng 001; Yang Song 008 (ICDE, 2024)

Temporal Graph Generation Featuring Time-Bound Communities. - Shuwen Zheng; Chaokun Wang; Cheng Wu 004; Yunkai Lou; Hao Feng 007; Xuran Yang (ICDE, 2024)

Graph Contrastive Learning with Reinforcement Augmentation. - Ziyang Liu 004; Chaokun Wang; Cheng Wu 004 (IJCAI, 2024)

Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. - Cheng Wu 004; Shaoyun Shi; Chaokun Wang; Ziyang Liu 004; Wang Peng; Wenjin Wu; Dongying Kong; Han Li 005; Kun Gai (WWW, 2024)

Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. - Cheng Wu 004; Liang Su; Chaokun Wang; Shaoyun Shi; Ziqian Zhang; Ziyang Liu 004; Wang Peng; Wenjin Wu; Peng Jiang (AAAI, 2025)

LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks. - Songyao Wang; Chaokun Wang; Fang Niu; Cheng Wu 004 (ICDE, 2025)

Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. - Ziqian Zhang; Chaokun Wang; Shuwen Zheng; Cheng Wu 004; Ziyang Liu 004; Hao Feng 007 (ICDE, 2025)

Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. - Leqi Zheng; Chaokun Wang; Ziyang Liu 004; Canzhi Chen; Cheng Wu 004; Hongwei Li (SIGIR, 2025)

Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems. - Ziyang Liu 004; Chaokun Wang; Shuwen Zheng; Cheng Wu 004; Kai Zheng 001; Yang Song 008; Na Mou (Trans. Recomm. Syst., 2025)