Researchers at Shanghai Jiao Tong University have made a groundbreaking discovery in the field of Temporal Knowledge Graphs ...
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 ...
Combining Neo4j with Claude, MCP, and network monitoring has given the truck giant real-time visibility into how its systems, ...
This project attempts to formalize the process of using LLMs as template generators in a reliable, reproducible, and reviewable way. GraphMD proves you don't need AGI for effective AI assistance. You ...
Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
Due to the nature of query languange, there are limitation for LLMs to extract meaning and relationship within traditional record based system. Knowledge graph has been proven to improve the accuracy ...
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