AGU is an adaptive graph unlearning framework that combines task-specific edge and feature forgetting with GNN-specific affected-neighbor selection, and it reports state-of-the-art F1 and runtime on seven real-world graphs.
Graph unlearning
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Adaptive Graph Unlearning
AGU is an adaptive graph unlearning framework that combines task-specific edge and feature forgetting with GNN-specific affected-neighbor selection, and it reports state-of-the-art F1 and runtime on seven real-world graphs.