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They will be carried over.
Not totally sure I understand. If you define self-loops in your graph and your graph has edge features, then the self-loops should also define edge features. |
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Hello
if I use ToUndirected(), will I need to manually add the edge attributes for the reverse edge, or will ToUndirected carry them over.
Also for self attention, if is do something like Linear(torch.cat(x_i, x_i)), or do i define add self loops to the dataset, meaning i will also have to add edge attributes for self attention?
Thanks in advance
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