Bin Sun

Pairwise Uncertainty-Based Graph Contrastive Learning

Currently, vanilla graph contrastive learning (GCL) has become the mainstream paradigm for learning discriminative node representations in unsupervised settings. However, its performance is limited by two issues. First, traditional graph augmentation strategies lack awareness of edge semantic relationships, which may c...