KG-SoftMAP: Soft Knowledge-Graph Priors for Bayesian Network Structure Learning from Sparse Discrete Data

Researchers have introduced KG-SoftMAP, a method that integrates weighted knowledge graphs as soft priors to improve Bayesian network structure learning from sparse datasets.

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