Self-Perturbed Anomaly-Aware Graph Dynamics for Multivariate Time-Series Anomaly Detection
NeurIPSSpotlight2025
TL;DR
Detecting anomalies in multivariate time-series data is an essential task across various domains, yet there are unresolved challenges such as (1) severe class imbalance between normal and anomalous da…
Opening excerpt from the authors’ abstract. source
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Topics
graph
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