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how to design an adjacency matrix from protein structure for a graph neural network?

I am trying to design edge features from protein data via python code. For a graph neural network, I need to get an adjacency matrix. Is there any easier way of specifying totally a relationship between two residues in a protein as a vertex? Or Do ı need to add them (every residue pair) one by one in order to get an adjacency matrix? ı would be appreciated if you help me.

protein gnn adjacency_matrix

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