How does Naïve Bayes connect to probabilistic inference in graphical models?

Naïve Bayes is a simple Bayesian network enabling exact inference due to its tree-like structure.

In graphical models, Naïve Bayes is a directed acyclic graph with one parent node (class) and independent child nodes (features). This structure allows exact inference without approximation methods like sampling or variational inference. It is one of the simplest yet most interpretable probabilistic graphical models.