SPGCL: Simple yet Powerful Graph Contrastive Learning via SVD-Guided Structural Perturbation

Hao Deng, Zhang Guo, Shuiping Gou +1

Graph Neural Networks (GNNs) are sensitive to structural noise from adversarial attacks or imperfections. Existing graph contrastive learning (GCL) methods typically rely on either…