Graph norm is a mathematical measure that quantifies the size or extent of a graph's adjacency matrix, often used to analyze properties of graphs in spectral graph theory. It provides insights into graph connectivity, stability, and can be used in applications like network analysis and machine learning for understanding graph structures.