Abstract: As cyber–physical systems continue to increase in complexity, multivariate time series exhibit not only intricate temporal patterns within individual variables but also complex ...
This project applies graph attention networks combined with topological analysis to detect anomalies in multivariate time series. It leverages research in topological graph neural networks and graph ...
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