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Updated: Jun 25, 2025

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在图形神经网络中的量化不确定性解释

Junji Jiang1, Chen Ling2, Hongyi Li3

  • 1School of Management, Fudan University, Shanghai, China.

Frontiers in big data
|May 24, 2024
PubMed
概括

本研究引入了一个新的框架来量化图形神经网络 (GNN) 解释中的不确定性. 它解决了图形数据和模型参数中的随机性,以实现更可靠的GNN预测.

关键词:
深度学习是一种深度学习.解释不确定性解释不确定性图表神经网络的神经网络不确定性量化不确定性量化变化机制的变化机制

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