Traffic forecasting is a particularly challenging application of spatiotemporal forecasting, due to the time-varying traffic patterns and the complicated spatial dependencies on road networks. To ...

We introduce the Graph Convolutional Mixture-of-Experts Learners Network for Long-Tailed Domain Generalization (GCML) as a solution to this problem. Our approach presents two novel tactics. Initially, ...