Skip to main content

🍇 Embiggen is the Python Graph Representation learning, Prediction and Evaluation module processing submodule of the GRAPE library.

Project description

Pypi project Pypi total project downloads Tutorials Documentation Supported Python versions DOI License Telegram Group Discord Server Twitter

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 grape

Instead, to exclusively install the Embiggen package, you can run:

pip install embiggen

Cite 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}
}

Project details


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-0.11.70.tar.gz (226.0 kB view details)

Uploaded Source

File details

Details for the file embiggen-0.11.70.tar.gz.

File metadata

  • Download URL: embiggen-0.11.70.tar.gz
  • Upload date:
  • Size: 226.0 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

Hashes for embiggen-0.11.70.tar.gz
Algorithm Hash digest
SHA256 39d07423991d5520a59756a254d4bcf25227289473b770f4b4a5beb4e1fb0d17
MD5 53e785401825efc764f137e4d11943a9
BLAKE2b-256 0e180fe9be63c2b65dd3f21032d2ad65d4537b609c554c0a31a7ce34f1e00c03

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page