pathpyG
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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.