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 ...

A suspected Hamas terrorist, reportedly granted asylum a year from the Gaza war, was arrested by Greek police for allegedly plotting an attack on an Israeli cruise line. The Gaza man, 37, was arrested ...

The power of Python trumps Excel workbooks.