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

Time-Topology Analysis. - Yunkai Lou; Chaokun Wang; Tiankai Gu; Hao Feng 007; Jun Chen 004; Jeffrey Xu Yu (Proc. VLDB Endow., 2021)

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)

Time-topology analysis on temporal graphs. - Yunkai Lou; Chaokun Wang; Tiankai Gu; Hao Feng 007; Jun Chen 004; Jeffrey Xu Yu (VLDB J., 2023)