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Updated: Mar 13, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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桥梁图形结构和以知识为导向的编辑,以实现可解释的时间知识图形推理

Shiqi Fan1, Quanming Yao2, Hongyi Nie3

  • 1School of Cybersecurity, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China; Department of Data Science and Artificial Intelligence, The Hong Kong Polytechnic University, Hong Kong, 999077, China.

Neural networks : the official journal of the International Neural Network Society
|March 11, 2026
PubMed
概括

我们介绍了IGETR,这是一个用于时间知识图推理 (TKGR) 的新框架. 它集成了图形神经网络 (GNN) 和大型语言模型 (LLM),以提高预测准确性和减少动态知识结构中的幻觉.

关键词:
可解释的人工智能图形神经网络是一个神经网络.大型语言模型.推理路径的精细化时间知识图推理推理

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