Recent Releases of graspologic
graspologic - v3.4.2
Updates dependencies
What's Changed
- Move single-length matrix strategy dimensions to env-vars by @darthtrevino in https://github.com/graspologic-org/graspologic/pull/1082
- Bump tornado from 6.4 to 6.4.1 by @dependabot[bot] in https://github.com/graspologic-org/graspologic/pull/1083
- Update README.md by @sheneeb in https://github.com/graspologic-org/graspologic/pull/1097
- bump hyppo version by @nightosong in https://github.com/graspologic-org/graspologic/pull/1092
New Contributors
- @sheneeb made their first contribution in https://github.com/graspologic-org/graspologic/pull/1097
- @nightosong made their first contribution in https://github.com/graspologic-org/graspologic/pull/1092
Full Changelog: https://github.com/graspologic-org/graspologic/compare/v3.4.1...v3.4.2
- Python
Published by bdpedigo 6 months ago
graspologic - v3.4.1
Update dependency versions
* beartype: ^0.10.4 -> ^0.18.5
* hyppo: ^0.3.2 -> ^0.4.0
* networkx: ^2.8.8 -> ^3
* POT: ^0.7.0 -> ^0.9.0
- Python
Published by darthtrevino almost 2 years ago
graspologic - v3.4.0
- Python 3.12 Support
- Using new Poetry-based build system
- Replace references of
microsoft/graspologicwithgraspologic-org/graspologic
- Python
Published by darthtrevino almost 2 years ago
graspologic - GraSPy 0.3
Announcement: GraSPy 0.3
We're happy to announce the release of GraSPy 0.3! GraSPy is a Python package for understanding the properties of random graphs that arise from modern datasets, such as social networks and brain networks.
For more information, please visit our website and our tutorials
Highlights
This release is the result of over 5 months of work with over 11 pull requests by 7 contributors. Highlights include:
- Added seeded graph matching as a capability for graph matching, renamed graph matching class to
GraphMatch - Added functions for simulating a pair of correlated RDPG graphs.
- Deprecated Python 3.5
- Added different backend hypothesis tests for the
LatentDistributionTestfrom Hyppo - Added a correction to make
LatentDistributionTestvalid for differently sized graphs
Improvements
- Updated default value of
rescalein RDPG simulation - Updated default value of
scaledin MASE estimation - Improved error throwing in
AutoGMM - Clarified the API for
inferencesubmodule
API Changes
FastApproximateQAPwas renamed toGraphMatchfitmethod ofLatentDistributionTestandLatentPositionTestnow returns self instead of a p-value
Deprecations
- Python 3.5
Contributors to this release
- Jaewon Chung
- Benjamin Pedigo
- Ali Saad-Eldin
- Shan Qiu
- Bijan Varjavand
- Anton Alyakin (new contributor!)
- Casey Weiner (new contributor!)
- Python
Published by bdpedigo over 5 years ago
graspologic - GraSPy 0.2
Highlights
This release is the result of over 8 months of work with over 25 pull requests by 10 contributors. Highlights include:
- Added
AutoGMMClusterinclustersubmodule.AutoGMMClusteris Python equivalent tomclustin R. - Added
subgraphsubmodule, which detects vertices that maximally correlates to given features. - Added
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.
Improvements
- Diagonal augmentation is default behavior in AdjacencySpectralEmbed.
- Added functionality in
to_laplaceto allow for directed graphs. - Updated docstrings.
- Updated documentation website.
- Various bug fixes.
API Changes
- Added
**kwargsargument forheatmap.
- Python
Published by j1c almost 6 years ago
graspologic - GraSPy 0.1
Highlights
This release is the result of over 2 months of work with over 18 pull requests by 3 contributors. Highlights include:
Added MultipleASE, which is a new method for embedding population of graphs.
Added mug2vec within pipieline module, which learns a feature vector for population of graphs.
- Python
Published by j1c over 6 years ago
graspologic - GraSPy 0.0.3
Highlights
This release is the result of over 2 months of work with over 16 pull requests by 4 contributors. Highlights include:
- Optimization over covariance structures when using
GaussianCluster - Standardized sorting for visualizing graphs when using
heatmaporgridplot - Graph model classes for fitting several random graph models to input datasets
- Improved customization for
heatmapsandgridplots
- Python
Published by bdpedigo over 6 years ago
graspologic - GraSPy 0.0.2
Highlights
This release is the result of 3 months of work with over 16 pull requests by 5 contributors. Highlights include:
- Nonparametric hypothesis testing method for testing two non-vertex matched graphs.
- Plotting updates to
pairplot,gridplotandheatmaps. - Sampling degree-correlcted stochatic block models (DC-SBM).
import_edgelistfunction for importing single or multiple edgelists.- Enforcing
Blackformatting for the package.
- Python
Published by j1c almost 7 years ago
graspologic - GraSPy v0.0.1
Highlights
This release is the result of over two years of work with 238 commits and 35 merges by 4 contributors. Highlights include: - Fast implementation of dimensionailty reduction using different implementation of SVD. - Single and multiple graph embedding methods. - Methods for preprocessing graphs for meaningful embeddings. - Hypothesis testing, specifically semiparametric testing of two graphs. - Methods for clustering vertices or population of graphs - Plotting functions for visualization of graphs and high dimensional data.
- Python
Published by j1c about 7 years ago