Robust node embedding against graph structural perturbations

DOI10.1016/J.INS.2021.02.046zbMath1527.68202OpenAlexW3133890528MaRDI QIDQ6086304

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Publication date: 9 November 2023

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2021.02.046

zbMATH Keywords

adversarial attacksgraph neural networksdefense method

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

The identical distribution hypothesis is equivalent to the parameter discrepancy hypothesis: adversarial attacks on graph neural networks

Cites Work

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• HesGCN: Hessian graph convolutional networks for semi-supervised classification
• An Introduction to Variational Autoencoders

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