Several types of graphical models are commonly used in nanotechnology:
Bayesian Networks: These are used for probabilistic inference and to model uncertain relationships. Markov Networks: Utilized for modeling the joint distribution of a set of variables. Factor Graphs: These represent the factorization of a function, useful in understanding complex interactions.
