most citedRethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2024★ 6 cited

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy

Sunwoo Kim, Soo Yong Lee, Fanchen Bu +4

Graph autoencoders (Graph-AEs) learn representations of given graphs by aiming to accurately reconstruct them. A notable application of Graph-AEs is graph-level anomaly detection (…