Hi,
in the paper, you mention dropout values on both the node features and the adjacency matrix. Could you please point me to that part in the code? I have trouble to find it.
I also wanted to use the pytorch geometric version of GraphUNet, instead of the one in ops. Do I then still have to normalize the adjacency matrix before (A = ops.normalize_adj(n2n_sp))? I think this might be covered within GCNConv in GraphUNet, but am not sure.
Thank you already!
Hi, in the paper, you mention dropout values on both the node features and the adjacency matrix. Could you please point me to that part in the code? I have trouble to find it. I also wanted to use the pytorch geometric version of GraphUNet, instead of the one in ops. Do I then still have to normalize the adjacency matrix before (A = ops.normalize_adj(n2n_sp))? I think this might be covered within GCNConv in GraphUNet, but am not sure. Thank you already!