Robust Graph Neural Networks via Ensemble Learning

Robust Graph Neural Networks via Ensemble Learning

Graph neural networks (GNNs) have demonstrated a remarkable ability in the task of semi-supervised node classification. However, most existing GNNs suffer from the nonrobustness issues, which poses a great challenge for applying GNNs into sensitive scenarios. Some researchers concentrate on construc...

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Bibliographic Details
Main Authors:	Qi Lin, Shuo Yu, Ke Sun, Wenhong Zhao, Osama Alfarraj, Amr Tolba, Feng Xia
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Mathematics
Subjects:	graph neural networks graph learning ensemble learning multilayer DropNode propagation knowledge passing
Online Access:	https://www.mdpi.com/2227-7390/10/8/1300

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