Mixed Probabilistic Graph Networks (MPGNs)
Mohammed Ettouney · 2025
Both Bayesian networks (BNs) and Markov networks (MNs) have serious limitations: they confine the type of links between variables. On one hand, BNs limit their links to directional links, whereas MNs insist on bidirectional links between their variables. Realistic and accurate CC-related models require a mix of those types of links. These mixed probabilistic graph networks (MPGNs) with several CC-related applications are discussed.