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…