arXiv Machine Learning June 10, 2026 By Lianze Shan, Ningchong Wang, Jitao Zhao, Di Jin, Dongxiao He

Revisiting Positive Samples in Graph Contrastive Learning: From the Perspective of Message Passing

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arXiv:2606. 10284v1 Announce Type: new Abstract: Graph Contrastive Learning (GCL), which trains graph encoders by maximizing similarity between positive samples and minimizing it between negative ones, has emerged as a mainstream graph pre-training paradigm.

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