> graphical models typically serve as coarse, high-level descriptions, eliding critical aspects such as fine-grained independence, abstraction and recursion. M

> graphical models typically serve as coarse, high-level descriptions, eliding critical aspects such as fine-grained independence, abstraction and recursion. Maybe you're not impressed with graphical models due to your experience dealing with them according to the points above. by "writing code that generates a sample from the joint distribution", you can achieve much better modelling and control than what it would take with the normal methods of producing graphical models.