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

pip install graphgallery -U

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (1.0.0)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
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

2 files

0.7.2

2 files

0.6.0

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0.5.0

2 files

0.4.2

2 files

0.4.1

2 files

0.4.0

2 files

0.3.0

2 files

0.2.0

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

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0.1.8

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0.1.7

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0.1.6

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0.1.5

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0.1.4

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This release

0.1.3 This release

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0.1.2

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