Submitted by J00Nnn t3_zlmvcp in MachineLearning
Weary-Marionberry-15 t1_j06hbfh wrote
Is your “quality” known for each graph? If so, I recon you could do this by simply building a convolutional graph neural network and phrase this as a regression problem (assuming quality is a float).
J00Nnn OP t1_j09l1ov wrote
Thanks for replying! The quality of the graph is known in pairs like this: {G1 > G2, G3 > G4}, I'm not sure if that is suitable for convolutional GNN.
afireohno t1_j0aqu8w wrote
Use a pairwise loss.
Weary-Marionberry-15 t1_j0azzw2 wrote
Could you elaborate on what this pair is? It’s not clear to me what the entries are.
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