HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. - Tiankai Gu; Chaokun Wang; Cheng Wu; 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; 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; 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; 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; 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; Kai Zheng 001; Yang Song 008; Na Mou; Kun Gai (CoRR, 2023)