Machine Learning on Spatiotemporal Data – PyTorch Geometric Temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021) - benedekrozemberczki/pytorch_geometric_temporal
Machine Learning on Spatiotemporal Data – PyTorch Geometric Temporal launched on April 11, 2021 with 10 votes, #1,305 of 3,754 launches that month and more than 75% of that year's launches. The site was still online in September 2026, 5 years on.
In plain words
PyTorch Geometric Temporal is a machine learning library for processing spatiotemporal data using PyTorch. It is designed for researchers and developers working with data that has both spatial and temporal dimensions, such as traffic forecasting, weather prediction, or sensor networks. The library provides pre-built models and tools for building neural networks that can learn patterns across space and time simultaneously.
written from the facts on this page · September 2026
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