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Arxiv
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Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges
- Recent studies have shown that Hypergraph Neural Networks (HGNNs) are vulnerable to adversarial attacks.
- A novel framework called Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges (IE-Attack) is proposed to tackle these challenges.
- IE-Attack utilizes node spanning in the hypergraph to identify hyperedges to be injected and generates a homogeneous node with the group identity of hyperedges using Kernel Density Estimation (KDE).
- By injecting the homogeneous node into elite hyperedges, IE-Attack improves attack performance and enhances the imperceptibility of attacks.
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