1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
Knowledge Graph, Large Language Model, BERT, Knowledge Management, Small and Medium-Sized Enterprises, Accounting, Supply Chain Management Zheng, Y. (2026) Knowledge Graph Application in KM for ...
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Abstract: Traditional knowledge aggregation methods are mostly limited to the physical splicing of data and information resources, lacking deep semantic correlations. Domain knowledge aggregation has ...
Second Brain apps are a potential productivity trap if you try to force them into your workflow without understanding their ...
Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...
Our team tests, rates, and reviews more than 1,500 products each year to help you make better buying decisions and get more ...
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 ...
1 Quzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Quzhou, China 2 College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China Introduction: The ...
Chinese and Singaporean researchers have developed a defense mechanism that poisons proprietary knowledge graph data, making such stolen information worthless to thieves who attempt to deploy it in ...
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