相关实验视频

Updated: Sep 17, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

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

Published on: June 13, 2025

592

基于自适应融合和模式信息增强的多模式知识图的链接预测方法

Zenglong Wang1, Xuan Liu1, Zheng Liu1

  • 1The Key Laboratory of Ethnic Language Intelligent Analysis and Security Governance, Minzu University of China, Beijing, China.

Neural networks : the official journal of the International Neural Network Society
|July 2, 2025
PubMed
概括

本研究介绍了自适应融合和模式信息增强 (AFME) 框架,以改进多模式知识图推理. AFME有效地融合和增强各种信息,克服现有方法的局限性,以更好地预测链接.

关键词:
信息增强 信息增强 信息增强信息融合是一个信息融合.链接预测链接预测多式联运知识图表的完成.

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