Graphical models are used to represent relationships between variables in statistics. Scientists have developed methods like the graphical lasso and PC algorithm to figure out the underlying structure of these models. These techniques help in tasks like understanding gene interactions from data. Researchers have also improved these methods to handle hidden variables and different data types.