Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...

Abstract: In the existing traffic prediction scenarios, the lack of accompanying event data, noise interference and insufficient supervised signals seriously restrict the effect of actual traffic ...