Machine-Learning Neural Spatiotemporal Signal Processing with PyTorch Geometric Temporal

Machine-Learning Neural Spatiotemporal Signal Processing with PyTorch Geometric Temporal

PyTorch Geometric Temporal is a deep learning library for neural spatiotemporal signal processing. Machine-Learning Neural Spatiotemporal Signal Processing with PyTorch Geometric Temporal

PyTorch Geometric Temporal is a deep learning library for neural spatiotemporal signal processing. This library is an open-source project. It consists of various dynamic and temporal geometric deep learning, embedding, and Spatiotemporal regression methods from a variety of published research papers.

In addition, it comes with an easy-to-use dataset loader, an iterator for dynamic and temporal graphs, and gpu-support. It also comes with a number of benchmark datasets with temporal and dynamic graphs (you can also create your own datasets).

In the following, we will overview a case study where PyTorch Geometric Temporal can be used to solve a real-world relevant machine learning problem.

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