Implementación simple de How powerful are graph neural networks?
matiasbattocchia / gin Goto Github PK
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Simple implementation of a graph isomorphism network in PyTorch
Implementación simple de How powerful are graph neural networks?
for layer in self.convs:
X = layer(A, X)
hidden_states.append(X)
X = torch.cat(hidden_states, dim=2).sum(dim=1)
This is 2-dim input and code is assuming the input is 3 dim?
While running the code, I am getting this error
IndexError: Dimension out of range (expected to be in range of [-2, 1], but got 2)
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