GraphRAG explains why AI is shifting from isolated text to connected knowledge, and what that means for AI search ...

Kagan insists that the Fourth Amendment cannot be defeated by slicing invasions of privacy into pieces small enough to appear ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Abstract: In industrial environments, efficient indoor transportation is a cornerstone of streamlined operations. However, the availability of high-end robotic transportation systems often poses a ...

The flattening process relies on sampling a sequence of random trail segments with neighborhood information (i.e. a SENT), by traversing the graph through a strategy similar to depth-first search.

Retrieval-augmented generation (RAG) allows AI systems to provide additional information and context to a large language model (LLM) when generating a response to a user query. However, traditional ...

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

Abstract: Graph edit distance (GED) is a measure for quantifying the similarity between two graphs. Because of its flexibility and versatility, GED is widely used in many real applications. However, ...

Research on specific domain question-answering technology has become important with the increasing demand for intelligent question-answering systems. This paper proposes a domain question-answering ...