# 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

To install metis, jus type: `bash sudo apt-get install libmetis-dev pip install metis `

To install texttable, just type:

`bash pip install texttable `

Project links

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  • Released:
Newer release available (1.0.0)

1 maintainer

PyPI data
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Avatar for Edisonleejt from gravatar.com Edisonleejt

Credits

Author: Jintang Li

Requires

Python >=3.6

Tags

tensorflow geometric-deep-learning graph-neural-networks

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1.0.0

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0.7.2

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0.6.0

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0.4.0

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0.3.0

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0.2.0

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0.1.12

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0.1.11

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0.1.10

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0.1.4

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