Graph unlearning (GU) aims to eliminate the influence of specific nodes, edges, or features from a trained graph neural network (GNN), and is of great importance for privacy protection and data ...

Graph neural networks have emerged as a leading paradigm for inferring node labels in complex relational data. By extending convolutional and attention operations to arbitrary graph structures, these ...