Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

Yunfei Liu, Jintang Li, Yuehe Chen +9

Graph clustering, a fundamental and challenging task in graph mining, aims to classify nodes in a graph into several disjoint clusters. In recent years, graph contrastive learning…