Metadata-Version: 2.1
Name: sinr
Version: 1.0.8
Summary: Build word and graph embeddings based on community detection in graphs.
Home-page: https://github.com/SINr-Embeddings/sinr
License: CeCILL 2.1
Keywords: node embedding,word embedding,embedding,graph embedding,louvain,community
Author: Thibault Prouteau
Author-email: thibault.prouteau@univ-lemans.fr
Requires-Python: >=3.8
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Cython
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: ipykernel (>=6.21.1,<7.0.0)
Requires-Dist: joblib (>=1.1.1)
Requires-Dist: networkit (==9.1.1)
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: pandas (>=1.5.3,<2.0.0)
Requires-Dist: parallel-sort (>=0.1.0,<0.2.0)
Requires-Dist: scikit-learn (>=1.2.1,<2.0.0)
Requires-Dist: scipy (>=1.6.1)
Requires-Dist: tabulate (>=0.9.0,<0.10.0)
Requires-Dist: tqdm (>=4.64.1,<5.0.0)
Project-URL: Repository, https://github.com/SINr-Embeddings/sinr
Description-Content-Type: text/markdown

SINr
==============================

Build word and graph embeddings based on community detection in graphs.

Installation 
------------



Usage
---------

For examples, see [notebooks](/notebooks)


Contributing
------------

Pull requests are welcome. For major changes, please open an issue first to disccuss the changes to be made.


# License

Releaser under [CeCILL 2.1](https://cecill.info/)

