GCCM: Enhancing Generative Graph Prediction via Contrastive Consistency Model

概要

arXiv:2605.05689v1 Announce Type: new Abstract: Conditional generative models, particularly diffusion-based methods, have recently been applied to graph prediction by modeling the target as a conditional distribution given the input graph, yielding competitive results compared to deterministic pred…