Graph convolutional network with various sizes of input

1

Hi there,

I’m wondering whether it is possible to forward various size of input to the graph convolutional networks (GCNs) or not.
For example, I have 3 different inputs as below, (please ignore the values of tensors(0))

in_a = torch.zeros(50, 100)
in_b = torch.zeros(80, 100)
in_c = torch.zeros(150, 100)

Will GCNs which have 100x100 nodes be trained well with those inputs?
Please reply any comments whenever you need further explanations.
Thanks