TigerGraph is releasing an updated version of its signature platform, combining graph pattern matching with real-time deep link analytics -- a unique mix ideal for fraud and money laundering detection ...

Graph matching and similarity constitute foundational operations in pattern recognition, underpinning tasks from image analysis to bioinformatics. A graph models data as nodes representing entities ...

Graph pattern matching constitutes the identification of specific substructures within a larger network, a task of central importance across disciplines as diverse as social media analysis, ...

As the perils of cyber security breaches continue to plague industries, governments, and citizens throughout the world, the need to detect these infiltrating events, as well as identify their attack ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph databases are playing a growing role in improving fraud detection, ...

Graph querying of data housed in massive data lakes and data warehouses has been part of the big data and analytics scene for many years, but it hasn’t always been a particularly easy process.

Neo4j is both the original graph database and the continued leader in the graph database market. Designed to store entities and relationships, and optimized to perform graph operations such as ...

Learn how to use pattern-matching features in your Java programs, including pattern matching with switch statements, when clauses, sealed classes, and a preview of primitive type pattern matching in ...