GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning

Understand

Graph Neural Networks (GNNs) have demonstrated significant application potential in various fields.

• However, GNNs are still vulnerable to adversarial attacks.
• Numerous adversarial defense methods on GNNs are proposed to address the problem of adversarial attacks.
• However, these methods can only serve as a defense before poisoning, but cannot repair poisoned GNN.