arXiv (All)
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Kernel-Complexity Edge Sanitization for Training-Free Defense against Structural Graph Attacks
Graph Neural Networks (GNNs) have achieved remarkable success across diverse applications, yet they remain highly vulnerable to adversarial attacks that maliciously perturb graph structure. Existing defenses often lack rigorous theoretical grounding, rely on attack-specific heuristics, or require co
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