A factor graph is a type of bipartite graph used in statistics, probability, and machine learning to represent the factorization of a probability distribution. It provides a visual and structural way to denote how variables and factors (functions that define relationships between variables) are interconnected. ### Key Components: 1. **Variables**: These are typically represented as nodes on one side of the graph. Each variable can be a random variable in a probabilistic model.
New to topics? Read the docs here!