2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning
Lin Shu, Chuan Chen, Zibin Zheng
Graph contrastive learning defines a contrastive task to pull similar instances close and push dissimilar instances away. It learns discriminative node embeddings without supervise…
cs.LG2022
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs
Taolin Zhang, Chuan Chen, Yaomin Chang +2
As special information carriers containing both structure and feature information, graphs are widely used in graph mining, e.g., Graph Neural Networks (GNNs). However, in some prac…