Abstract: Multivariate time series anomaly detection (MTSAD) plays a crucial role in the Internet of Things (IoT) to identify device malfunction or system attacks. Graph neural networks (GNN) are ...

Abstract: Multivariate long-term time-series forecasting tasks are very challenging tasks in many real-world application areas. Recently, researchers focus on designing robust and effective methods, ...

If you find this repo useful, please cite our paper. @inproceedings{yi2023fouriergnn, title={Fourier{GNN}: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective}, author={Kun ...

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 ...