Comments (3)
Hi, the reason why we transpose the edges is that the standard representation of the adjacency matrix edge_index
representation, instead, gives you the sparse COO format of
By doing these operations, we ensure to always abide by the PyG's convention for message passing (See https://pytorch-geometric.readthedocs.io/en/latest/advanced/sparse_tensor.html).
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Oh, Indeed, now it's clear for me, thank you! I feel like I forgot this convention in PyG :)
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Then I close the issue, thank you for such fast reply!
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