Generative Subgraph Contrast for Self-Supervised Graph Representation Learning

1 code implementation • 25 Jul 2022 • Yuehui Han, Le Hui, Haobo Jiang, Jianjun Qian, Jin Xie

To this end, in this paper, we propose a novel adaptive subgraph generation based contrastive learning framework for efficient and robust self-supervised graph representation learning, and the optimal transport distance is utilized as the similarity metric between the subgraphs.

Contrastive Learning Graph Representation Learning +1