Hi all,
I’d like to solve a node classification task. Right now, I don’t really have constraints on the model architecture (GAT / GCN / GraphSAGE would all work).
My only constraint is that I need to consider both node features and edge features. In my case edge features are actually scalars, so they’re actually edge weights.
I had a look at the code of the GAT, GCN and SAGE convolution classes:
GATConv / SAGEConv / GraphConv.
The edge weights/feature are never considered. Does anyone know how to address this task? Thanks.