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

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...

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 ...