Graph-based methods leverage the structure of data represented as graphs to solve problems in various domains, such as social network analysis, recommendation systems, and bioinformatics. These methods utilize nodes and edges to capture relationships and dependencies, enabling the extraction of meaningful patterns and insights from complex datasets.