IEEE

Graph Construction Approaches for Graph Neural Networks-Based Anomaly Detection in Time Series

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 ...
IEEE

Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction

Abstract: Geospatial data have been transformative for the monitoring of the Earth, yet, as in the case of (geo) physical monitoring, the measurements can have variable spatial and temporal sampling ...