AI RESEARCH
Self-supervised Adversarial Purification for Graph Neural Networks
arXiv CS.LG
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ArXi:2605.23239v1 Announce Type: new Defending Graph Neural Networks (GNNs) against adversarial attacks requires balancing accuracy and robustness, a trade-off often mishandled by traditional methods like adversarial