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-0.11.65.tar.gz (224.7 kB view details)

Uploaded Source

File details

Details for the file embiggen-0.11.65.tar.gz.

File metadata

  • Download URL: embiggen-0.11.65.tar.gz
  • Upload date:
  • Size: 224.7 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-0.11.65.tar.gz
Algorithm Hash digest
SHA256 f1e81105c48370acc28d327e10737957170a66a54d2da125cb6e57d2bea13c71
MD5 de9c1a1764661e443aee6542214bb7aa
BLAKE2b-256 b332dc972f7a09e409bd84c1ba3c1d0473418cf79483b5eaadc4ff947cbdcca3

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