.. image:: https://perso.telecom-paristech.fr/bonald/logo_sknetwork.png
:align: right
:width: 150px
:alt: logo sknetwork
.. image:: https://img.shields.io/pypi/v/scikit-network.svg
:target: https://pypi.python.org/pypi/scikit-network
.. image:: https://github.com/sknetwork-team/scikit-network/actions/workflows/ci_checks.yml/badge.svg
:target: https://github.com/sknetwork-team/scikit-network/actions/workflows/ci_checks.yml
.. image:: https://readthedocs.org/projects/scikit-network/badge/?version=latest
:target: https://scikit-network.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. image:: https://codecov.io/gh/sknetwork-team/scikit-network/branch/master/graph/badge.svg
:target: https://codecov.io/gh/sknetwork-team/scikit-network
.. image:: https://img.shields.io/pypi/pyversions/scikit-network.svg
:target: https://pypi.python.org/pypi/scikit-network
Free software library in Python for machine learning on graphs:
* Memory-efficient representation of graphs as sparse matrices in scipy_ format
* Fast algorithms
* Simple API inspired by scikit-learn_
.. _scipy: https://www.scipy.org
.. _scikit-learn: https://scikit-learn.org/
Resources
---------
* Free software: BSD license
* GitHub: https://github.com/sknetwork-team/scikit-network
* Documentation: https://scikit-network.readthedocs.io
Quick start
-----------
Install scikit-network:
.. code-block:: console
$ pip install scikit-network
Import scikit-network::
import sknetwork
Overview
--------
An overview of the package is presented in this `notebook <https://scikit-network.readthedocs.io/en/latest/tutorials/overview/index.html>`_.
Documentation
-------------
The documentation is structured as follows:
* `Getting started <https://scikit-network.readthedocs.io/en/latest/first_steps.html>`_: First steps to install, import and use scikit-network.
* `User manual <https://scikit-network.readthedocs.io/en/latest/reference/data.html>`_: Description of each function and object of scikit-network.
* `Tutorials <https://scikit-network.readthedocs.io/en/latest/tutorials/data/index.html>`_: Application of the main tools to toy examples.
* `Examples <https://scikit-network.readthedocs.io/en/latest/use_cases/text.html>`_: Examples combining several tools on specific use cases.
* `About <https://scikit-network.readthedocs.io/en/latest/authors.html>`_: Authors, history of the library, how to contribute, index of functions and objects.
Citing
------
If you want to cite scikit-network, please refer to the publication in
the `Journal of Machine Learning Research <https://jmlr.org>`_:
.. code::
@article{JMLR:v21:20-412,
author = {Thomas Bonald and Nathan de Lara and Quentin Lutz and Bertrand Charpentier},
title = {Scikit-network: Graph Analysis in Python},
journal = {Journal of Machine Learning Research},
year = {2020},
volume = {21},
number = {185},
pages = {1-6},
url = {http://jmlr.org/papers/v21/20-412.html}
}
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