From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
arXiv:2510.03690v3 Announce Type: replace
Abstract: Real-world graph datasets often arise from mixtures of populations, where graphs are generated by multiple distinct underlying distributions. In this work, we propose a unified framework that explici…