Variational Mode-Driven Graph Convolutional Network for Spatiotemporal Traffic Forecasting

Osama Ahmad, Lukas Wesemann, Fabian Waschkowski +1

This paper focuses on spatiotemporal (ST) traffic prediction using graph neural networks (GNNs). Given that ST data comprises non-stationary and complex temporal patterns, interpre…