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: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...
This is the repository for the tutorial Biomedical Knowledge Graphs meet LLM. See the link here This tutorial focuses on the complementary nature of Biomedical Knowledge Graphs (KGs) and Large ...
franky is a high-level control library for Franka robots, offering Python and C++ support. By providing a high-level control interface, franky eliminates the need for strict real-time programming at 1 ...
Objective: Although the beneficial impact of motivational climate on adolescent sport participation is well-established, key questions remain unresolved regarding its hierarchical mechanism and the ...
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