Metadata-Version: 2.1
Name: graphgallery
Version: 0.1.3
Summary: Geometric Deep Learning Extension Library for TensorFlow
Home-page: https://github.com/EdisonLeeeee/Graphgallery
Author: Jintang Li
Author-email: cnljt@outlook.com
License: UNKNOWN
Download-URL: https://github.com/EdisonLeeeee/Graphgallery/archive/0.1.3.tar.gz
Keywords: tensorflow,geometric-deep-learning,graph-neural-networks
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: networkx (==2.3)
Requires-Dist: metis (==0.2a4)
Requires-Dist: scipy (==1.4.1)
Requires-Dist: tensorflow (>=2.1.0)
Requires-Dist: numpy (==1.17.4)
Requires-Dist: gensim (>=3.8.0)
Requires-Dist: texttable (>=1.6.2)
Requires-Dist: numba (>=0.46.0)
Requires-Dist: tqdm (>=4.40.2)
Requires-Dist: scikit-learn (>=0.23.1)

# GraphGallery

A gallery of state-of-the-arts graph neural networks.. 

Implemented with Tensorflow 2.x.

This repo aims to achieve 4 goals:
+ Similar (or higher) performance with the corresponding papers
+ Faster implementation of training and testing
+ Simple and convenient to use, high scalability
+ Easy to read source codes

# Requirements

+ python>=3.7
+ tensorflow>=2.1 (2.1 is recommended)
+ networkx==2.3
+ scipy>=1.4.1
+ sklearn>=0.22
+ numpy>=1.18.1
+ numba>=0.48
+ gensim>=3.8.1

Extral packages (not necessary）:

+ metis==0.2a4
+ texttable

# Install
```bash
pip install graphgallery -U
```




