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@kayzliu kayzliu released this 20 Jul 01:35
· 111 commits to main since this release
v1.0.0
5b49e61

We are thrilled to release PyGOD v1.0.0, a comprehensive open-source graph outlier detection library in the PyG ecosystem.

PyGOD contains more than 10 latest graph outlier detectors, which are built on PyTorch and PyG. It features:

  • unified and simple API: detector.fit, detector.predict
  • full documentation and examples at docs.pygod.org
  • all you need to prepare a PyG Data object

New features in recent versions:

  • built-in data and benchmark: utils.load_data
  • modularized components: nn.encoder, nn.decoder, nn.fuctional, etc.
  • extensive utility functions: metric, generator, utils, etc.

If you encounter a bug or have any suggestions please fill an issue or reach us via email at [email protected]. Also, feel free to try it out with your code! We appreciate every star, fork, and follow.

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