On the robustness of graph neural diffusion to topology perturbations

On the robustness of graph neural diffusion to topology perturbations

Neural diffusion on graphs is a novel class of graph neural networks that has attracted increasing attention recently. The capability of graph neural partial differential equations (PDEs) in addressing common hurdles of graph neural networks (GNNs), such as the problems of over-smoothing and bottlen...

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書目詳細資料
Main Authors:	Song, Yang, Kang, Qiyu, Wang, Sijie, Zhao, Kai, Tay, Wee Peng
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Graph Neural Networks Deep Learning
在線閱讀:	https://hdl.handle.net/10356/166693 https://proceedings.neurips.cc/ https://nips.cc/Conferences/2022
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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