deepgnn-torch

DeepGNN algorithms for pytorch.

These details have not been verified by PyPI

Project links

Homepage

Project description

See DeepGNN package for detailed description.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

0.1.60

Apr 18, 2023

This version

0.1.60.dev1 pre-release

Apr 5, 2023

0.1.59

Mar 30, 2023

0.1.59.dev4 pre-release

Mar 11, 2023

0.1.59.dev3 pre-release

Mar 8, 2023

0.1.59.dev2 pre-release

Mar 3, 2023

0.1.59.dev1 pre-release

Mar 1, 2023

0.1.58

Feb 16, 2023

0.1.58.dev5 pre-release

Feb 8, 2023

0.1.58.dev4 pre-release

Jan 31, 2023

0.1.58.dev3 pre-release

Jan 31, 2023

0.1.58.dev2 pre-release

Jan 27, 2023

0.1.58.dev1 pre-release

Jan 12, 2023

0.1.57

Dec 15, 2022

0.1.56

Nov 2, 2022

0.1.55.1

Aug 30, 2022

0.1.55

Aug 26, 2022

0.1.55.dev1 pre-release

Aug 8, 2022

0.1.54

Aug 4, 2022

0.1.53

Aug 3, 2022

0.1.52

Jul 27, 2022

0.1.51

May 3, 2022

0.1.50

Apr 26, 2022

0.1.49

Apr 22, 2022

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-0.1.60.dev1-py3-none-win_amd64.whl (91.4 kB view details)

Uploaded Apr 5, 2023 Python 3 Windows x86-64

deepgnn_torch-0.1.60.dev1-py3-none-manylinux1_x86_64.whl (90.8 kB view details)

Uploaded Apr 5, 2023 Python 3

deepgnn_torch-0.1.60.dev1-py3-none-macosx_10_9_x86_64.whl (90.8 kB view details)

Uploaded Apr 5, 2023 Python 3 macOS 10.9+ x86-64

File details

Details for the file deepgnn_torch-0.1.60.dev1-py3-none-win_amd64.whl.

File metadata

Download URL: deepgnn_torch-0.1.60.dev1-py3-none-win_amd64.whl
Upload date: Apr 5, 2023
Size: 91.4 kB
Tags: Python 3, Windows x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for deepgnn_torch-0.1.60.dev1-py3-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`519f05d9463bb96e14ed7e59cf96552cb096b59c03797416563ded609f0fffab`
MD5	`fa1210482854f0ab4cfdca019c924672`
BLAKE2b-256	`e264b77ff9cf69a6ff85e9b224b7e9e1916b4d05dcbacbc2de12e42f2651c3ec`

See more details on using hashes here.

File details

Details for the file deepgnn_torch-0.1.60.dev1-py3-none-manylinux1_x86_64.whl.

File metadata

Download URL: deepgnn_torch-0.1.60.dev1-py3-none-manylinux1_x86_64.whl
Upload date: Apr 5, 2023
Size: 90.8 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for deepgnn_torch-0.1.60.dev1-py3-none-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8c3945b48334eb7d76e4b13f679743de87d3dab0cc5b44d3ba98f7da06c89cf9`
MD5	`1dc9d3209ff46389a957ee22d146e5a3`
BLAKE2b-256	`b92c3ef6539aeb02ad11e70c26e6741aca23cd0a521060e99424120969f2691d`

See more details on using hashes here.

File details

Details for the file deepgnn_torch-0.1.60.dev1-py3-none-macosx_10_9_x86_64.whl.

File metadata

Download URL: deepgnn_torch-0.1.60.dev1-py3-none-macosx_10_9_x86_64.whl
Upload date: Apr 5, 2023
Size: 90.8 kB
Tags: Python 3, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for deepgnn_torch-0.1.60.dev1-py3-none-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9cbe26ddce5d430b296778832d4cda48a1d2188d2d36a54da7ebe032f0b92e88`
MD5	`546a15c4833ada32fb367dc47da26d1d`
BLAKE2b-256	`f11d00845755481e2ec3577a82c16b65361925b12a47cb731c1f8c38e1956a52`