No project description provided
Project description
Installation of required packages
-
Install pytorch geometric >= 2.0 see https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
-
pipenv install
Contents
greycdata :
|- datasets.py : Implementation of three GREYC chemistry small datasets as pytorch
geometric datasets : Alkane, Acyclic and MAO. See https://brunl01.users.greyc.fr/CHEMISTRY/ for details
- loaders.py : load the same datasets as list of networkx graphs
Examples
Two notebooks, one for classification, one for regression, are provided for testing purposes
Authors
- Benoit Gaüzère benoit.gauzere@insa-rouen.fr
- Linlin Jia https://github.com/jajupmochi
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
greycdata-0.1.0.tar.gz
(56.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
greycdata-0.1.0-py3-none-any.whl
(176.0 kB
view details)
File details
Details for the file greycdata-0.1.0.tar.gz.
File metadata
- Download URL: greycdata-0.1.0.tar.gz
- Upload date:
- Size: 56.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.13 Linux/6.5.0-13-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9ba5b9b1cfb1f4c19bdfa7eb072dab7c9116bbdf7b102ef0b04313c93c898cb9
|
|
| MD5 |
f7eb37887afb8fa686feb8d275069a05
|
|
| BLAKE2b-256 |
aabfc27d55a00f37779c9a4985b2fe2e31f0990063801ba7d23244f22735dea9
|
File details
Details for the file greycdata-0.1.0-py3-none-any.whl.
File metadata
- Download URL: greycdata-0.1.0-py3-none-any.whl
- Upload date:
- Size: 176.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.6.1 CPython/3.10.13 Linux/6.5.0-13-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7eaf04c3024c072c03a40ef9e976f4334f17ab9396c37f23f749d08dd566211a
|
|
| MD5 |
96d658b4eb751a9c66981bf5f114289b
|
|
| BLAKE2b-256 |
10f8947804e4de9800290ab96500ed17f275b0ed1677a1896f8095f28c422de1
|
