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