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Mar, 2024
基于去除的节点影响快速推断
Fast Inference of Removal-Based Node Influence
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Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
TL;DR
通过提出一种高效的方法NORA来评估图神经网络中节点的影响力,该方法使用梯度来近似节点移除对预测结果的影响,通过一次前向传播和一次反向传播即可估计所有节点的影响分数。
Abstract
graph neural networks
(GNNs) are widely utilized to capture the information spreading patterns in graphs. While remarkable performance has been achieved, there is a new trending topic of evaluating
node influence
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