# Model Card for RGCN

RGCN is a GNN that can be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.

## Model Description

RGCN is a GNN made up of RGCNConv from PyTorch Geometric


## Model Sources

<!-- Provide the basic links for the model. -->

- **Example:** [Github](https://github.com/pyg-team/pytorch_geometric/blob/master/examples/rgcn.py)
- **Paper:** [Paper](https://arxiv.org/abs/1703.06103)
- **Documentation:** [Link](https://pytorch-geometric.readthedocs.io/en/latest/generated/torch_geometric.nn.conv.RGCNConv.html#torch_geometric.nn.conv.RGCNConv)


## Direct Use

This model should be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.


## How to Get Started with the Model

See example

{"license": "openrail", "tags": ["graphs"], "pipeline_tag": "graph-ml"}
graphs graph-ml arxiv:1703.06103 license:openrail region:us
TAGS
#graphs #graph-ml #arxiv-1703.06103 #license-openrail #region-us 

# Model Card for RGCN

RGCN is a GNN that can be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.

## Model Description

RGCN is a GNN made up of RGCNConv from PyTorch Geometric


## Model Sources



- Example: Github
- Paper: Paper
- Documentation: Link


## Direct Use

This model should be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks.


## How to Get Started with the Model

See example

# Model Card for RGCN

RGCN is a GNN that can be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks. ## Model Description

RGCN is a GNN made up of RGCNConv from PyTorch Geometric ## Model Sources



- Example: Github
- Paper: Paper
- Documentation: Link ## Direct Use

This model should be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks. ## How to Get Started with the Model

See example
TAGS
#graphs #graph-ml #arxiv-1703.06103 #license-openrail #region-us 
 # Model Card for RGCN

RGCN is a GNN that can be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks. ## Model Description

RGCN is a GNN made up of RGCNConv from PyTorch Geometric ## Model Sources



- Example: Github
- Paper: Paper
- Documentation: Link ## Direct Use

This model should be used to learn node embeddings for Graphs. These embeddings can be used for downstream learning tasks. ## How to Get Started with the Model

See example