Abstract: Graph unlearning has emerged as a pivotal method to delete information from an already trained graph neural network (GNN). One may delete nodes, a class of nodes, edges, or a class of edges.

Abstract: Knowledge distillation has been widely used to enhance student network performance for dense prediction tasks. Most previous knowledge distillation methods focus on valuable regions of the ...