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We noticed that the readout function in the original paper is concatenation, while the one in code implementation is addition.
The text was updated successfully, but these errors were encountered:
This is actually the same, but utilizing transformation and addition is a bit more memory-efficient:
x = self.lin(torch.cat([x1, x2], dim=-1))
is equal to
x = self.lin1(x1) + self.lin(x2)
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We noticed that the readout function in the original paper is concatenation, while the one in code implementation is addition.
The text was updated successfully, but these errors were encountered: