pathpy / pathpyg

GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.

pathpyG

GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Dynamic Networks.

Documentation

Online documentation is available at pathpy.net.

The docs include a tutorial, an API reference, and other useful information.

Dependencies

pathpyG supports Python 3.7+.

Installation requires numpy, scipy, torch, and torch-geometric.

Installation

The development version can be installed from Github as follows:

pip install git+https://github.com/pathpy/pathpyg.git

Testing

To test pathpy, run pytest in the root directory.

This will exercise both the unit tests and docstring examples (using pytest).

Development

pathpyG development takes place on Github: https://github.com/pathpy/pathpyG

Please submit any reproducible bugs you encounter to the issue tracker.