4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
Alleviating neighbor bias: augmenting graph self-supervise learning with structural equivalent positive samples
Jiawei Zhu, Mei Hong, Ronghua Du +1
In recent years, using a self-supervised learning framework to learn the general characteristics of graphs has been considered a promising paradigm for graph representation learnin…
cs.CV2021
A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering
Huafeng Yang, Qijie Shen, Xingjian Chen +2
In recent years, benefiting from the expressive power of Graph Convolutional Networks (GCNs), significant breakthroughs have been made in face clustering area. However, rare attent…