STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Abstract: Deep-learning-based data-driven forecasting methods have achieved impressive results for traffic forecasting. Specifically, spatiotemporal graph neural networks have emerged as a promising ...

Abstract: Efficient and resilient traffic management relies on accurate prediction of air traffic states. However, the complex spatial-temporal dependencies of air traffic networks make this task ...