GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Dynamic Networks.
Online documentation is available at pathpy.net.
The docs include a tutorial, an API reference, and other useful information.
pathpyG supports Python 3.7+.
Installation requires numpy, scipy, torch, and torch-geometric.
The development version can be installed from Github as follows:
pip install git+https://github.com/pathpy/pathpyg.git
To test pathpy, run pytest in the root directory.
This will exercise both the unit tests and docstring examples (using pytest).
pathpyG development takes place on Github: https://github.com/pathpy/pathpyG
Please submit any reproducible bugs you encounter to the issue tracker.