Modeling Relational Data with Graph Convolutional Networks
Paper
• 1703.06103 • Published
RGCN is a GNN that can be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.
RGCN is a GNN made up of RGCNConv from PyTorch Geometric
This model should be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.
See example