相关实验视频

Updated: Jul 12, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Published on: June 13, 2025

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BI-FedGNN:基于贝叶斯推理的联邦图神经网络框架

Rufei Gao1, Zhaowei Liu1, Chenxi Jiang1

  • 1School of Computer Science and Engineering, Yantai University, Shandong, China.

Neural networks : the official journal of the International Neural Network Society
|October 27, 2023
PubMed
概括

本研究介绍了BI-FedGNN,这是工业物联网中联邦图形学习的新框架. 它通过解决数据隐私问题和改进图形表示来提高机器学习的准确性.

关键词:
贝叶斯的推理 贝叶斯的推理联邦图形学习学习图形神经网络是一个神经网络.工业物联网的工业物联网.

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