Bayesian hierarchical model for multiplex networks that infers population hierarchical structure and individual multi-resolution clusters, supported by identifiability results and posterior consistency.
Using the formula (⊗c i=1Ci) (⊗c i=1Di) (⊙c i=1Ei) =⊙ c i=1(CiDiEi) for matricesC i,D i,E i of compat- ible dimensions, we obtain Λ′
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Bayesian Deep Generative Models for Multiplex Networks with Multiscale Overlapping Clusters
Bayesian hierarchical model for multiplex networks that infers population hierarchical structure and individual multi-resolution clusters, supported by identifiability results and posterior consistency.