E2GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks
Recently, graph contrastive learning proposes to learn node representations from the
unlabeled graph to alleviate the heavy reliance on node labels in graph neural networks …
unlabeled graph to alleviate the heavy reliance on node labels in graph neural networks …