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 dev@pygod.org. Also, feel free to try it out with your code! We appreciate every star, fork, and follow.