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Updated: Sep 11, 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

578

一个模型不可知图形神经网络,用于整合本地和全球信息

Wenzhuo Zhou1, Annie Qu1, Keiland W Cooper2

  • 1Department of Statistics, University of California Irvine.

Journal of the American Statistical Association
|August 11, 2025
PubMed
概括

我们介绍了MaGNet,这是图形神经网络 (GNN) 的一个新的框架,它增强了可解释性并集成了多顺序的信息. 通过识别有影响力的图形结构,MaGNet提供了有意义的见解,改进了现有的黑子模型.

关键词:
实证的拉德马切尔复杂性图形表示图形表示.信息聚合 信息聚合

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