2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation
Zehong Wang, Qi Li, Donghua Yu
Temporal graph is an abstraction for modeling dynamic systems that consist of evolving interaction elements. In this paper, we aim to solve an important yet neglected problem -- ho…
cs.LG2022
Heterogeneous Graph Contrastive Multi-view Learning
Zehong Wang, Qi Li, Donghua Yu +3
Inspired by the success of contrastive learning (CL) in computer vision and natural language processing, graph contrastive learning (GCL) has been developed to learn discriminative…