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Guohao Sun

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Conference Open access Sep 2026

Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning

Graph-level anomaly detection (GLAD) aims to identify graphs that deviate from the majority in a dataset of graphs. Existing methods typically adopt either a global aggregation perspective that summarizes nodes within a graph into a representation vector, or a subgraph-oriented perspective which regards certain local s...

Ge Zhang, Hui-Mei Li, Guo-Hao Sun et al. · 0 citations

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