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Input : Node Graph, Output : Float

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I have some knowledge of machine learning, but I don't know of any solution related to the following problem.

Having as input a graph of X nodes (x isnt fixed)

Evaluate with a Neural net/svm or anything that is trainable if the graph is good (supervised).

Is there any techniques that would allow me to model that problem?

submitted by fawar
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