About the GCN module

[Kevis9]

I have a question about the code line in DeepRobuts.graph.defence.gcn.py:

output = torch.spmm(adj, support)

I track the code and found that in the train_gcn part of prognn.py , the adj is dense matrix after normalization and yet you use torch.spmm to calculate adj and support ? but the adj is dense matrix.