BriefGPT.xyz
Dec, 2022
异构节点提高图形主动学习
Dissimilar Nodes Improve Graph Active Learning
HTML
PDF
Zhicheng Ren, Yifu Yuan, Yuxin Wu, Xiaxuan Gao, Yewen Wang...
TL;DR
本文提出了基于相异性的信息评分方法,包括特征差异评分、结构差异评分和嵌入差异评分,能够考虑标记节点集对未标记节点价值的影响,有效提高主动学习的性能,实验结果表明,本文提出的评分方法平均提高了2.1%的分类准确率,且适用于不同图神经网络结构。
Abstract
Training labels for
graph embedding
algorithms could be costly to obtain in many practical scenarios.
active learning
(AL) algorithms are very helpful to obtain the most useful labels for training while keeping t
→