Tiankai Gu

According to our database, Tiankai Gu authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Time-topology analysis on temporal graphs.

Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu

VLDB J., July, 2023

Instant Representation Learning for Recommendation over Large Dynamic Graphs.

Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

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

CoRR, 2022

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

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Time-Topology Analysis.

Yunkai Lou, Chaokun Wang, Tiankai Gu, Hao Feng, Jun Chen, Jeffrey Xu Yu

Proc. VLDB Endow., 2021

DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation.

Tiankai Gu, Chaokun Wang, Cheng Wu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021