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-0.11.92.tar.gz (252.9 kB view details)

Uploaded Source

File details

Details for the file embiggen-0.11.92.tar.gz.

File metadata

  • Download URL: embiggen-0.11.92.tar.gz
  • Upload date:
  • Size: 252.9 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-0.11.92.tar.gz
Algorithm Hash digest
SHA256 b0ddc797e1c2e403410f59bf694b4da0bb1a21d0e89d5afe72bde342af1665fa
MD5 698c3ec02d463023a5b483e5b012bac3
BLAKE2b-256 90a2522c4fcdbad4b6431f4f134c9999294b2e5434569c6eb4a78e57c78d7eb6

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