Skip to content

sw-gong/GNN-Tutorial

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Graph Neural Network Tutorial for Deep Learning (CO460)

1. Pytorch Geometric Framework

2. Vertex Classification

  • Showcase a model developed based on our GCN implementation to do vertex classification on Cora dataset.
  • Develop a model with your own GraphSAGE (with mean/sum/max aggregation) implementation on the same dataset to get insights of difference.

3. Graph Classification

Acknowledgments

This tutorial is designed based the Pytorch Geometric library, and we own many thanks to Matthias Fey for making this great library to facilitate the research in Graph Neural Networks.

About

Graph Neural Network Tutorial

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published