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 ...
Python IDEs now assist with writing, debugging, and managing code using built in AI supportDifferent IDEs serve different ...
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
Abstract: The constructed knowledge graphs (KGs) are often incomplete and the completeness of KGs directly impacts the performance of various applications and methods based on these KGs. Knowledge ...
A deep learning system that uses Graph Attention Networks (GAT) and LSTM to predict volatility spillovers across the Electric Vehicle supply chain by modeling real supplier relationships extracted ...
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