2026
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
ICML 2026poster
Graph anomaly detection methods aim to distinguish anomalous nodes. While prior methods characterize anomalies through increased variation in the spectral energy distributions, they overlook those that result in decreased variation, i.e., camouflaged anomalies that appear normal. We show that this t…