BriefGPT.xyz
Jun, 2023
面向图表示学习的定向扩散模型
Directional diffusion models for graph representation learning
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Run Yang, Yuling Yang, Fan Zhou, Qiang Sun
TL;DR
本文提出了一种名为方向扩散模型的新型模型,该模型在学习非等向性结构时比传统扩散模型更加有效,应用于无监督表示学习,并在12个公共数据集上的不同图表示学习任务中得到证明。
Abstract
In recent years,
diffusion models
have achieved remarkable success in various domains of artificial intelligence, such as image synthesis, super-resolution, and 3D molecule generation. However, the application of
diffus
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