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Sep, 2023
高效低秩图神经网络防御结构性攻击
Efficient Low-Rank GNN Defense Against Structural Attacks
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Abdullah Alchihabi, Qing En, Yuhong Guo
TL;DR
提出了一种高效的低秩图神经网络防御方法(ELR-GNN),通过学习低秩和稀疏的图结构来抵御对抗性攻击,并在保证有效防御的同时提高效率。实验结果表明,ELR-GNN在文献中超过了现有技术的图神经网络防御方法,而且非常高效易用。
Abstract
graph neural networks
(GNNs) have been shown to possess strong representation abilities over graph data. However, GNNs are vulnerable to
adversarial attacks
, and even minor perturbations to the graph structure ca
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