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Hi, I'm wondering which function did you use to generate the visualization on MUTAG? (Figure 4 and 5 in the paper)
Or if authors have any follow-up on this?
Some other detailed questions:
You are using the dense version of GCN, where adj can be float and it won't affect matmul operation (like this line). But if we are moving to the sparse version of GCN (like pyg), then how are you going to handle the grad according the edge_list which is essentially the node index (like this line)?
The text was updated successfully, but these errors were encountered:
Hi, I'm wondering which function did you use to generate the visualization on MUTAG? (Figure 4 and 5 in the paper)
Or if authors have any follow-up on this?
Some other detailed questions:
adj
can befloat
and it won't affectmatmul
operation (like this line). But if we are moving to the sparse version of GCN (like pyg), then how are you going to handle thegrad
according theedge_list
which is essentially the node index (like this line)?The text was updated successfully, but these errors were encountered: