Spatial Entropy based Partitioning for Spatiotemporal Graph Unlearning
IsleNet is proposed, which uses spatial-entropy-guided partitioning to create balanced, locally coherent subgraphs and reconnects them with lightweight virtual edges and ensures exact removal with low cost of ST-graph unlearning.
Qi-Ming Guo, Wenbo Sun, Ye Wang et al.
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