Brief Tutorial

Contents:

• Node Classification
  • Quick Start
  • Save trained model
  • Save embeddings
• Graph Storage
  • Mini-batch Graphs
  • Editing Graphs
  • Common benchmarks
• Using customized GNN
  • GNN layers in CogDL to Define model
  • Define your GNN Module
  • Use Custom models with CogDL
• Using customized Dataset
  • Dataset for node_classification
  • Dataset for graph_classification
  • Use custom dataset with CogDL