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

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, ...

Retrieval-augmented generation (RAG) has become the de facto standard for grounding large language models (LLMs) in private data. The standard architecture — chunking documents, embedding them into a ...