Esra Akbas

SAC-GCL: Structure-Aware Compression for Graph Contrastive Learning

Graph Contrastive Learning (GCL) has achieved remarkable success in self-supervised representation learning by maximizing agreement between augmented views of a graph. Although augmented view generation is the central step in GCL, existing models rely on stochastic augmentation of the input graph, such as edge perturba...