Huaxin Pang

Asymptotic Consistent Graph Structure Learning for Multivariate Time-Series Anomaly Detection

2024 · IEEE Transactions on Instrumentation and Measurement

Capturing complex inter-variable relationships is crucial for anomaly detection for multivariate time series (MTS) data. In recent years, graph neural networks (GNNs) have been introduced to explicitly model complex inter-variable relationships from global static or …