Examples

This is a collection of examples that you can use as template for your projects.

Node-level prediction

• Citation networks with GCN
• Citation networks with GCN (custom training loop)
• Citation networks with ChebConv
• Citation networks with GAT
• Citation networks with GAT (custom training loop)
• Citation networks with ARMA
• Citation networks with SimpleGCN (custom transform)
• Open Graph Benchmark dataset

Graph-level prediction

• General GNN
• Custom dataset
• OGB mol-hiv classification (edge attributes)
• QM9 regression with ECC (custom training loop)
• QM9 regression with ECC (batch mode)
• TUDataset classification with GIN
• TUDataset classification with MinCut pooling

Other applications

• Graph signal classification on MNIST (mixed mode)
• Node clustering on citation networks with MinCut pooling (unsupervised)
• Link prediction with Variational Graph Autoencoders (by Filippo Bianchi)