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Diffusion-Based Graph Generative Methods

Published in IEEE Transactions on Knowledge and Data Engineering • Sep 23, 2024
NobleIDNI0P75W24R74S45
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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