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-based pattern mining encompasses a suite of computational methods designed to discover recurring substructures within graph-structured data. These techniques involve systematically enumerating ...

We study the induced subgraph isomorphism problem and the general subgraph isomorphism problem for small pattern graphs. We present a new general method for detecting induced subgraphs of a host graph ...

Abstract: Graph pattern queries (GPQ) over RDF graphs extend basic graph patterns to support variable-length paths (VLP), thereby enabling complex knowledge retrieval and navigation. Generally, ...

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 ...