DeepGNN algorithms for pytorch.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for deepgnn from gravatar.com deepgnn Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: DeepGNN Team
  • Requires: Python >=3.7
Classifiers

Project description

See DeepGNN package for detailed description.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for deepgnn from gravatar.com deepgnn Avatar for microsoft from gravatar.com microsoft

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: DeepGNN Team
  • Requires: Python >=3.7
Classifiers

Release history Release notifications | RSS feed

0.1.60

0.1.60.dev1 pre-release

0.1.59

0.1.59.dev4 pre-release

0.1.59.dev3 pre-release

0.1.59.dev2 pre-release

0.1.59.dev1 pre-release

0.1.58

0.1.58.dev5 pre-release

0.1.58.dev4 pre-release

0.1.58.dev3 pre-release

0.1.58.dev2 pre-release

0.1.58.dev1 pre-release

0.1.57

0.1.56

0.1.55.1

This version

0.1.55

0.1.55.dev1 pre-release

0.1.54

0.1.53

0.1.52

0.1.51

0.1.50

0.1.49

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

deepgnn_torch-0.1.55-py3-none-win_amd64.whl (93.3 kB view details)

Uploaded Python 3 Windows x86-64

deepgnn_torch-0.1.55-py3-none-manylinux1_x86_64.whl (92.7 kB view details)

Uploaded Python 3

deepgnn_torch-0.1.55-py3-none-macosx_10_9_x86_64.whl (92.7 kB view details)

Uploaded Python 3 macOS 10.9+ x86-64

File details

Details for the file deepgnn_torch-0.1.55-py3-none-win_amd64.whl.

File metadata

File hashes

Hashes for deepgnn_torch-0.1.55-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 490c13527f471acc4fea2b817164de39510a799cc9c654fc679c4fad801fb8ca
MD5 acdc55ed858fc483e8183b0c48f65568
BLAKE2b-256 e37caf42baa3d56103ac342052f881f5231e8f84691ec8259de99081c41c3f83

See more details on using hashes here.

File details

Details for the file deepgnn_torch-0.1.55-py3-none-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for deepgnn_torch-0.1.55-py3-none-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f13c361cd4e2905f822191bed75bfa807541fd21158dfef494a2924c4e479e44
MD5 ee39092077a8162e584f9082567094ba
BLAKE2b-256 a4cdbe7463ea1f828c524c5ab92da9de3d95412b35d0a4b6b0153390829fc2f4

See more details on using hashes here.

File details

Details for the file deepgnn_torch-0.1.55-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for deepgnn_torch-0.1.55-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 978c72e2162074525514fbb4d29e15cbf979681a2b4c5eb0326f25f021d8d2e8
MD5 219d0b1c49e7f853cd39088c7abbc963
BLAKE2b-256 962211f00d8b3bf6e82996e8838bd2b69a3b78407ec15a6df7adaec199b72073

See more details on using hashes here.

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