Announcement: GraSPy 0.2¶
We're happy to announce the release of GraSPy 0.2! GraSPy is a Python package for understanding the properties of random graphs that arise from modern datasets, such as social networks and brain networks.
This release is the result of over 8 months of work with over 25 pull requests by 10 contributors. Highlights include:
AutoGMMClusteris Python equivalent to
subgraphsubmodule, which detects vertices that maximally correlates to given features.
matchsubmodule. Used for matching vertices from a pair of graphs with unknown vertex correspondence.
- Added functions for simulating a pair of correlated ER and SBM graphs.
- Diagonal augmentation is default behavior in AdjacencySpectralEmbed.
- Added functionality in
to_laplaceto allow for directed graphs.
- Updated docstrings.
- Updated documentation website.
- Various bug fixes.
Contributors to this release¶
- Jaewon Chung
- Benjamin Pedigo
- Tommy Athey (new contributor!)
- Jayanta Dey (new contributor!)
- Iain Carmichael (new contributor!)
- Shiyu Sun (new contributor!)
- Ali Saad-Eldin (new contributor!)
- Gun Kang (new contributor!)
- Shan Qiu (new contributor!)
- Ben Falk (new contributor!)
- Jennifer Heiko (new contributor!)