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Dec, 2019
图神经网络对结构噪声有多强健？
How Robust Are Graph Neural Networks to Structural Noise?
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James Fox, Sivasankaran Rajamanickam
TL;DR
该研究聚焦于图神经网络的鲁棒性问题，尤其是节点结构预测中添加结构噪声对模型稳健性的影响，研究表明，通过图增强训练，可以显著提高图神经网络的鲁棒性。
Abstract
graph neural networks
(GNNs) are an emerging model for learning graph embeddings and making predictions on graph structured data. However,
robustness
of
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