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Updated: Mar 12, 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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加强图形神经网络的稳定性:一种损失校正方法来减轻标签噪声

I-Chung Hsieh, Cheng-Te Li

    IEEE transactions on neural networks and learning systems
    |March 10, 2026
    PubMed
    概括

    本研究介绍了减噪GNN (NomiGNN),这是一个新的框架,用于提高图形神经网络 (GNN) 对噪音标签的稳定性. 诺米GNN通过完善损失优化和利用边缘标签来学习关系来增强节点分类,优于现有模型.

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