Skip to main content

Graph Neural Networks for Predicting Metal-Ligand Coordination in Transition Metal Complexes

Project description

Graph Neural Networks for Predicting Metal-Ligand Coordination in Transition Metal Complexes

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydentate-1.1.0.tar.gz (20.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydentate-1.1.0-py3-none-any.whl (20.2 MB view details)

Uploaded Python 3

File details

Details for the file pydentate-1.1.0.tar.gz.

File metadata

  • Download URL: pydentate-1.1.0.tar.gz
  • Upload date:
  • Size: 20.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.8

File hashes

Hashes for pydentate-1.1.0.tar.gz
Algorithm Hash digest
SHA256 439456795582fd3c482bc4579c25b57db3c63d79bff24b4818c71e516bcaa601
MD5 7a0067d34fc19215e81ed5d633a083b9
BLAKE2b-256 9f78d7727c16fe341eb757d21e01c6a272116b4d2e3ec056ec1e5be638531068

See more details on using hashes here.

File details

Details for the file pydentate-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: pydentate-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 20.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.8

File hashes

Hashes for pydentate-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 196c01aad45ebdb56f1461a0c26e94ef4daba342a1b279caa777c2e0901e3008
MD5 642c63788b34d63c4bab71e401ac47a4
BLAKE2b-256 01045763eb4f35969683a5750aa83c4939105802470e810b6f88aa2c7a91537a

See more details on using hashes here.

Supported by

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