GPR-GAE is a novel self-supervised graph auto-encoder purifier using multiple GPR filters and multi-step recovery that delivers state-of-the-art robustness for GNNs against structural attacks as a plug-and-play module.
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Self-supervised Adversarial Purification for Graph Neural Networks
GPR-GAE is a novel self-supervised graph auto-encoder purifier using multiple GPR filters and multi-step recovery that delivers state-of-the-art robustness for GNNs against structural attacks as a plug-and-play module.