🍇 Embiggen is the Python Graph Representation learning, Prediction and Evaluation module processing submodule of the GRAPE library.
Project description
Embiggen is the graph machine learning submodule of the 🍇 GRAPE library.
How to install Embiggen
To install the complete GRAPE library, do run:
pip install grapeInstead, to exclusively install the Embiggen package, you can run:
pip install embiggenCite GRAPE
Please cite the following paper if it was useful for your research:
@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}
}Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
embiggen-0.11.62.tar.gz
(233.1 kB
view details)
File details
Details for the file embiggen-0.11.62.tar.gz.
File metadata
- Download URL: embiggen-0.11.62.tar.gz
- Upload date:
- Size: 233.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.1 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.7.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 961d5548f613e90795d3a4e2e3def0deb8413d27a5fb63c3be6dec22616b5f7c |
|
| MD5 | da86bbe3089a527cb37da533a99b7ffc |
|
| BLAKE2b-256 | f2cd0f824c88a59b6368682eee98bc96fcdb09c3189c7b94284c53ef3c006510 |
