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@kayzliu kayzliu released this 04 Apr 22:30
· 329 commits to main since this release
v0.1.1
30a87e7

Many key applications depend on graph data. To tailor this need, we just open-sourced the first comprehensive graph outlier detection library--PyGOD.

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

  • unified and simple API as PyOD: using GNNs for outlier detection within 5 lines of code
  • full documentation and examples
  • for both academic use and industry app, all you need to prepare is the data in PyG format.

PyGOD is a collaborative effort among UIC, CMU, ASU, IIT, and BUAA. We commit to providing long-term maintenance and keep adding new models to the library. It is also our goal to promote graph outlier detection methods to broader audiences. If you encounter a bug or have any suggestions please fill an issue or reach us via email [email protected]. Also, feel free to try it out with your code!

We appreciate every star, fork, and follow.

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