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InfoResearchPeer-reviewed
Multivariate Time Series Anomaly Detection Using Learnable Spatial-Temporal Graph Ordinary Differential Equations Network
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Summary
Researchers propose MAD-ODE, a multivariate time series anomaly detection method for IoT settings that uses a learnable spatio-temporal graph ordinary differential equation (STGODE) network. It combines a static similarity graph built from prior knowledge with a learnable graph optimized through backpropagation to model sensor dependencies. The authors report that MAD-ODE achieves the best average performance and stable results across five datasets compared with existing methods.