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 this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...
1 College of Life Sciences, Nanjing Forestry University, Nanjing, China 2 College of Forestry, Nanjing Forestry University, Nanjing, China Many universities tend to prioritize research over teaching, ...
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