Yulin Zhu

Robust Graph Contrastive Learning with Information Restoration

2023 · arXiv (Cornell University)

The graph contrastive learning (GCL) framework has gained remarkable achievements in graph representation learning. However, similar to graph neural networks (GNNs), GCL models are susceptible to graph structural attacks. As an unsupervised method, GCL faces …