Graph Representation Learning

Graph contrastive learning with augmentations

Introduced by You et al. in Graph Contrastive Learning with Augmentations

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Self-Supervised Learning 2 33.33%
Adversarial Robustness 1 16.67%
Graph Classification 1 16.67%
Node Classification 1 16.67%
Graph Learning 1 16.67%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories