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: Accurate forecasting of bus arrival times is critical for enhancing the reliability and efficiency of public transportation systems. However, complex factors such as traffic congestion, ...
Abstract: Spatio-temporal predictive learning plays a crucial role in self-supervised learning, with wide-ranging applications across a diverse range of fields. Previous approaches for temporal ...
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