Improving Augmentation Consistency for Graph Contrastive Learning

Weixin Bu, Xiaofeng Cao, Yizhen Zheng, Shirui Pan

Abstract: Highlights•A novel augmentation consistency perspective in Graph Contrastive Learning•Integrating semantic and structural properties to better capture node consistency•Maintaining augmentation consistency of positive node pairs for node classification