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  • title: On the Robustness of Graph Neural Diffusion to Topology Perturbations
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            On the Robustness of Graph Neural Diffusion to Topology Perturbations
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            On the Robustness of Graph Neural Diffusion to Topology Perturbations

            Nov 28, 2022

            Speakers

            YS

            Yang Song

            Speaker · 8 followers

            QK

            Qiyu Kang

            Speaker · 0 followers

            SW

            Sijie Wang

            Speaker · 0 followers

            About

            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 bottlenecks, has been investigated but not their robustness to adversarial attacks. In this work, we explore the robustness properties of graph neural PDEs. We empirically demonstrate that graph neural PDEs…

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            NeurIPS 2022

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