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News/GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks
arxiv
PublishedJune 2, 2026 at 4:00 AM
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GJDNet: Robust Graph Neural Networks via Joint Disentangled Learning Against Adversarial Attacks

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arXiv:2606.01560v1 Announce Type: cross Abstract: Graph Neural Networks (GNNs) are vulnerable to adversarial attacks, which inherently invert connectivity patterns by introducing disassortative edges in assortative graphs and assortative edges in disassortative graphs. This structural inversion crea

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