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.