Yuehui Han

Generative Subgraph Contrast for Self-Supervised Graph Representation Learning

"Contrastive learning has shown great promise in the field of graph representation learning. By manually constructing positive/negative samples, most graph contrastive learning methods rely on the vector inner product based similarity metric to distinguish the samples for graph representation. Howev…