Structure-Aware Graph Contrastive Learning via Degree-Preserving Rewiring
This work proposes a principled augmentation strategy based on degree-preserving edge rewiring, inspired by the configuration model, that generates alternative graph views that maintain node degrees while randomizing the graph topology.
Emely Weigel, J. Pichowski, Ingo Scholtes
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