From my understanding of the heterograph model:
https://docs.dgl.ai/tutorials/hetero/1_basics.html
The model provided does not support node features (the graph structure is what is input) as indicated by the following excerpt from the above tutorial:
“Create a simple GNN by stacking two HeteroRGCNLayer
. Since the nodes do not have input features, make their embeddings trainable…”
Is there a model that considers input features, i.e., I can add features/properties to the node.
Thanks
Rajiv