Graph structure encodes independence assumptions:
conditionally independent of
Alice & Dave
One key difference between bns and mns is that in bns we model dependence of each variable on others, while
in mns, we model interactions of sets of variables.
This buys us the freedom from acyclicity constraint at the
expense of difficulty of interpreting the parameters.
It handles symmetric interactions, where cause and effect cannot be identified.