Cheeger–Hodge Contrastive Learning for Structurally Robust Graph Representation Learning
arXiv:2604.26301v1 Announce Type: new
Abstract: Graph Contrastive Learning (GCL) has emerged as a prominent framework for unsupervised graph representation learning. However, relying on augmentation design alone to define the invariances learned by GC…