Skip to content

2019 Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Notifications You must be signed in to change notification settings

yangmeng6666/Keras-Cluster-GCN-Implement

 
 

Repository files navigation

Keras Cluster GCN Implement

Environment:

Python pkgs:
1.keras 2.3.1
2.tensorflow 1.13.1
3.networkx 2.4
4.numpy 1.16.5
5.scipy 1.3.1
6.metis 0.2a4 (Python Wrapper of Metis)

Note: In this implement,sparse matrix is not supported as input in tensorflow 1.13.
But it works in tensorflow 1.9 & keras 2.2.4 in my another environment.

Others:
Metis-5.1.0(here to download)

How to install Metis in win10?(chinese)

About

2019 Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 66.7%
  • Jupyter Notebook 33.3%