The SGTL library is deprecated and will not be updated. The functionality currently available in SGTL will soon be included in the STAG library and the corresponding python package.
SGTL is a python library of spectral graph theory methods. The library is still very new and so there are many features and algorithms missing.
You can install the library with pip install sgtl.
- Lightweight and flexible graph object which can be extended as needed.
- Graph matrices including the Laplacian and Normalised Laplacian
- Spectral clustering method
- Generate graphs from the stochastic block model
- Find the cheeger cut of a graph
The full documentation is available here.
Please feel free to contribute to this project by opening issues, reporting bugs, and submitting pull requests. There is a checklist to follow while developing on this project here.
The library is currently maintained by Peter Macgregor (peter.macgregor@ed.ac.uk) and you are
welcome to get in touch with any questions.