Abstract: Multivariate time series (MTS) are captured in a great variety of real-world applications. However, analysing and modeling the data for classification and forecasting purposes can become ...
Abstract: This article surveys heuristic-based and learning-based approaches for constructing adjacency matrices in Graph Neural Network (GNN)-based anomaly detection for multivariate time series (MTS ...
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