Metadata-Version: 2.1
Name: embiggen
Version: 0.11.7
Summary: Graph embedding, machine learning, and visualization library.
Home-page: https://github.com/monarch-initiative/embiggen
Author: Vida Ravanmehr, Peter Robinson, Luca Cappelletti, Tommaso Fontana
Author-email: vida.ravanmehr@jax.org, peter.robinson@jax.org, luca.cappelletti1@unimi.it, tommaso.fontana@mail.polimi.it
License: BSD3
Description: Embiggen
        =========================================================================================
        |pip| |downloads| |tutorials| |documentation| |python_version| |DOI| |license| |telegram| |discord| |twitter|
        
        Embiggen is the graph machine learning submodule of the `GraPE <https://github.com/AnacletoLAB/grape>`_ library.
        
        How to install Embiggen
        -------------------------
        To install the complete GraPE library, do run:
        
        .. code:: bash
        
            pip install grape
        
        Instead, to exclusively install the Embiggen package, you can run:
        
        .. code:: bash
        
            pip install embiggen
        
        
        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}
            }
        
        .. |pip| image:: https://badge.fury.io/py/embiggen.svg
            :target: https://badge.fury.io/py/embiggen
            :alt: Pypi project
        
        .. |downloads| image:: https://pepy.tech/badge/embiggen
            :target: https://pepy.tech/badge/embiggen
            :alt: Pypi total project downloads
        
        .. |license| image:: https://img.shields.io/badge/License-BSD3-blue.svg
            :target: https://opensource.org/licenses/BSD-3-Clause
            :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-3.6+-blue.svg
            :target: https://pypi.org/project/embiggen/#history
            :alt: Supported Python versions
        
        .. |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
        
        .. |twitter| image:: https://badges.aleen42.com/src/twitter.svg
            :target: https://twitter.com/grapelib
            :alt: Twitter
Keywords: node2vec,word2vec,CBOW,SkipGram,GloVe
Platform: UNKNOWN
Requires-Python: >=3.6.0
Provides-Extra: test
