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Diffusion-based Graph Generative Methods

Published in arXiv (Cornell University) • Jan 28, 2024
NobleIDNI0P98W87R57S05
Authors:
Hongyang Chen
,
Can Xu
,
Lingyu Zheng

Abstract

Being the most cutting-edge generative methods, diffusion methods have shown great advances in wide generation tasks. Among them, graph generation attracts significant research attention for its broad application in real life. In our survey, we systematically and comprehensively review on diffusion-...

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