🍇 Ensmallen
========================
|pip| |downloads| |rust_version| |python_version| |license| |DOI| |documentation| |tutorials| |telegram| |discord| |twitter|
Ensmallen is the Rust/Python high-performance graph processing submodule of the `🍇 GRAPE <https://github.com/AnacletoLAB/grape>`_ library.
How to install Ensmallen
-------------------------
To install the complete GraPE library, do run:
.. code:: bash
pip install grape
Instead, to exclusively install the Ensmallen package, you can run:
.. code:: bash
pip install ensmallen
Compiling the wheels
~~~~~~~~~~~~~~~~~~~~~
See `this page <https://github.com/AnacletoLAB/ensmallen/blob/master/bindings/README.md>`_ to compile the bindings yourself.
Contributing
---------------------
Please refer to the `CONTRIBUTING.md <https://github.com/AnacletoLAB/ensmallen/blob/master/CONTRIBUTING.md>`_ file.
Cite GraPE
----------------------------------------------
Please cite the following paper if it was useful for your research:
.. code:: bib
@misc{cappelletti2021grape,
title={GraPE: fast and scalable Graph Processing and Embedding},
author={Luca Cappelletti and Tommaso Fontana and Elena Casiraghi and Vida Ravanmehr and Tiffany J. Callahan and Marcin P. Joachimiak and Christopher J. Mungall and Peter N. Robinson and Justin Reese and Giorgio Valentini},
year={2021},
eprint={2110.06196},
archivePrefix={arXiv},
primaryClass={cs.LG}
}
.. |rust_version| image:: https://img.shields.io/badge/rust-nightly-orange
:target: https://github.com/LucaCappelletti94/ensmallen/tree/master/graph
:alt: Rust Nightly
.. |pip| image:: https://badge.fury.io/py/ensmallen.svg
:target: https://badge.fury.io/py/ensmallen
:alt: Pypi project
.. |downloads| image:: https://pepy.tech/badge/ensmallen
:target: https://pepy.tech/badge/ensmallen
:alt: Pypi total project downloads
.. |license| image:: https://img.shields.io/badge/License-MIT-blue.svg
:target: https://opensource.org/licenses/MIT
:alt: License
.. |tutorials| image:: https://img.shields.io/badge/Tutorials-Jupyter%20Notebooks-blue.svg
:target: https://github.com/AnacletoLAB/grape/tree/main/tutorials
:alt: Tutorials
.. |documentation| image:: https://img.shields.io/badge/Documentation-Available%20here-blue.svg
:target: https://anacletolab.github.io/grape/index.html
:alt: Documentation
.. |DOI| image:: https://img.shields.io/badge/DOI-10.48550/arXiv.2110.06196-blue.svg
:target: https://doi.org/10.48550/arXiv.2110.06196
:alt: DOI
.. |python_version| image:: https://img.shields.io/badge/Python-3.7+-blue.svg
:target: https://pypi.org/project/ensmallen/#history
:alt: Supported Python versions
.. |twitter| image:: https://badges.aleen42.com/src/twitter.svg
:target: https://twitter.com/grapelib
:alt: Twitter
.. |telegram| image:: https://badges.aleen42.com/src/telegram.svg
:target: https://t.me/grape_lib
:alt: Telegram Group
.. |discord| image:: https://badges.aleen42.com/src/discord.svg
:target: https://discord.gg/Nda2cqYvTN
:alt: Discord Server
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"description": "\ud83c\udf47 Ensmallen\n========================\n|pip| |downloads| |rust_version| |python_version| |license| |DOI| |documentation| |tutorials| |telegram| |discord| |twitter|\n\nEnsmallen is the Rust/Python high-performance graph processing submodule of the `\ud83c\udf47 GRAPE <https://github.com/AnacletoLAB/grape>`_ library.\n\nHow to install Ensmallen\n-------------------------\nTo install the complete GraPE library, do run:\n\n.. code:: bash\n\n pip install grape\n\nInstead, to exclusively install the Ensmallen package, you can run:\n\n.. code:: bash\n\n pip install ensmallen\n\n\nCompiling the wheels\n~~~~~~~~~~~~~~~~~~~~~\nSee `this page <https://github.com/AnacletoLAB/ensmallen/blob/master/bindings/README.md>`_ to compile the bindings yourself.\n\n\nContributing\n---------------------\nPlease refer to the `CONTRIBUTING.md <https://github.com/AnacletoLAB/ensmallen/blob/master/CONTRIBUTING.md>`_ file.\n\n\nCite GraPE\n----------------------------------------------\nPlease cite the following paper if it was useful for your research:\n\n.. code:: bib\n\n @misc{cappelletti2021grape,\n title={GraPE: fast and scalable Graph Processing and Embedding}, \n author={Luca Cappelletti and Tommaso Fontana and Elena Casiraghi and Vida Ravanmehr and Tiffany J. Callahan and Marcin P. Joachimiak and Christopher J. Mungall and Peter N. Robinson and Justin Reese and Giorgio Valentini},\n year={2021},\n eprint={2110.06196},\n archivePrefix={arXiv},\n primaryClass={cs.LG}\n }\n\n\n.. |rust_version| image:: https://img.shields.io/badge/rust-nightly-orange\n :target: https://github.com/LucaCappelletti94/ensmallen/tree/master/graph\n :alt: Rust Nightly\n\n.. |pip| image:: https://badge.fury.io/py/ensmallen.svg\n :target: https://badge.fury.io/py/ensmallen\n :alt: Pypi project\n\n.. |downloads| image:: https://pepy.tech/badge/ensmallen\n :target: https://pepy.tech/badge/ensmallen\n :alt: Pypi total project downloads\n\n.. |license| image:: https://img.shields.io/badge/License-MIT-blue.svg\n :target: https://opensource.org/licenses/MIT\n :alt: License\n\n.. |tutorials| image:: https://img.shields.io/badge/Tutorials-Jupyter%20Notebooks-blue.svg\n :target: https://github.com/AnacletoLAB/grape/tree/main/tutorials\n :alt: Tutorials\n\n.. |documentation| image:: https://img.shields.io/badge/Documentation-Available%20here-blue.svg\n :target: https://anacletolab.github.io/grape/index.html\n :alt: Documentation\n\n.. |DOI| image:: https://img.shields.io/badge/DOI-10.48550/arXiv.2110.06196-blue.svg\n :target: https://doi.org/10.48550/arXiv.2110.06196\n :alt: DOI\n\n.. |python_version| image:: https://img.shields.io/badge/Python-3.7+-blue.svg\n :target: https://pypi.org/project/ensmallen/#history\n :alt: Supported Python versions\n\n.. |twitter| image:: https://badges.aleen42.com/src/twitter.svg\n :target: https://twitter.com/grapelib\n :alt: Twitter\n\n.. |telegram| image:: https://badges.aleen42.com/src/telegram.svg\n :target: https://t.me/grape_lib\n :alt: Telegram Group\n\n.. |discord| image:: https://badges.aleen42.com/src/discord.svg\n :target: https://discord.gg/Nda2cqYvTN\n :alt: Discord Server\n\n",
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