I understand “Bayesian networks” as the classical name for “directed graphical models”. Are “Gaussian Bayesian networks” Bayesian networks with only Gaussian distributed nodes? Also, how is inference typically performed in these models: MAP, variational inference, etc.?

There are plentiful examples in the tutorials and examples/ repo using (mostly) normal random variables.