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Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...
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 ...
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This repository contains the implementation of the paper "KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation". In this paper, we introduce enhanced KGC using ...