Siyang Leng

Multi-hop Self-augmented Graph Contrastive Learning for Node Classification

Current Graph Contrastive Learning (GCL) methods primarily focus on adapting data augmentation techniques from Computer Vision (CV) or Natural Language Processing (NLP) domains. These techniques typically involve modifying input data via node sampling, edge perturbation, or graph structure perturbat…