Xiaojin Li

Mutual-View Contrastive Generative Framework for Attribute-Missing Graph Clustering

Attribute-Missing Graph Clustering addresses the challenging problem of incomplete node attribute information in graphs. Recent advancements in self-supervised learning techniques, particularly contrastive learning and generative approaches, have shown effectiveness in tackling tasks involving missi…