Time varying Granger causality guided delay aligned propagation and spatiotemporal adaptive embedding for traffic speed prediction
Traffic speed prediction is vital for intelligent transportation systems. To achieve accurate forecasting, spatio-temporal graph neural networks have been widely adopted; however, despite recent advances, many existing methods still aggregate spatial features synchronously and rely on static or weakly adaptive dependen...