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You can just implement this loss in vanilla PyTorch on the node embeddings. Gradients are then backpropagated to all nodes that are reachable within the GNN.

If you want to use a GNN layer that supports edge features, take a look at https://pytorch-geometric.readthedocs.io/en/latest/cheatsheet/gnn_cheatsheet.html

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Answer selected by AlizadehF
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