Abstract: For accurate forecasting of multivariate time series, it is essential to consider the relationship between temporal and spatial dimensions. Graph neural networks (GNNs) have gained ...

Abstract: With the advancements in technology and monitoring tools, we often encounter multivariate graph signals, which can be seen as the realizations of multivariate graph processes, and revealing ...