相关实验视频

Updated: Sep 19, 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

595

在异质图神经网络中进行链接预测的社区影响路径解释

Yanhong Wen1, Yuhua Li2, Yixiong Zou2

  • 1School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China; Institute of Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China.

Neural networks : the official journal of the International Neural Network Society
|June 6, 2025
PubMed
概括

本研究介绍了CI-Path,这是一种用于在异质链接预测中解释图形神经网络 (GNN) 的新方法. 它有效地结合了社区结构,以产生更容易理解和准确的解释.

关键词:
欧洲共同体 欧洲共同体 欧洲共同体图形神经网络的神经网络不同质的图形是不同的图形.链接预测链接预测模型可解释性 模型可解释性

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