This podcast explores the principles and techniques of graph pattern matching, one of the most powerful capabilities of graph databases and connected data systems. It discusses how patterns are identified across complex networks, how Cypher queries leverage pattern matching, and real-world use cases in fraud detection, recommendations, and knowledge graphs. Perfect for data scientists, developers, analysts, and graph database enthusiasts looking to uncover meaningful relationships hidden within connected data. A