The tutorial contains four sections:
- Overview of graph neural networks: slides
- Overview of DGL API: slides
- Basic applications:
- node classification MXNet Notebook, Pytorch Notebook
- link prediction MXNet Notebook, Pytorch Notebook
- graph classification Pytorch Notebook
- Advanced applications:
- Recommendation Pytorch Notebook