Features Based Adaptive Augmentation for Graph Contrastive Learning

1 code implementation • 5 Jul 2022 • Adnan Ali, Jinlong Li

Self-Supervised learning aims to eliminate the need for expensive annotation in graph representation learning, where graph contrastive learning (GCL) is trained with the self-supervision signals containing data-data pairs.

Contrastive Learning Graph Representation Learning +1