Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don’t have access to a reliable model? Scientists now have an answer. They describe a novel algorithm that can infer the structure of a hypergraph using only the observed dynamics.
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