Signal Processing on Graphs extends traditional signal processing techniques to data residing on irregular structures represented as graphs, enabling analysis of complex, non-Euclidean domains. It leverages graph theory to define operations like filtering, sampling, and transformation, facilitating insights into networked systems and relational data.