Skip to content

eperrier/Hierarchical-GCNN

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

48 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Hierachical-GCNN

Hierachical Graph Convolutional Neural Network able to integrate data from multiple graphs using embedding and projection operations in a residual approach. Based on spatial graph convolutions.

Applied to Census data to predict election outcomes - provides significant improvement in RMSE - a 3 fold decrease compared to generalised linear methods.

Results to be published in AAAI 2019 conference output.

About

No description, website, or topics provided.

Resources

License

Stars

0 stars

Watchers

0 watching

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Jupyter Notebook 63.7%
  • Python 35.9%
  • Shell 0.4%