BriefGPT.xyz
Dec, 2022
交通时间序列插值的拉普拉斯卷积表示
Laplacian Convolutional Representation for Traffic Time Series Imputation
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Xinyu Chen, Zhanhong Cheng, Nicolas Saunier, Lijun Sun
TL;DR
提出一种基于低秩性和拉普拉斯卷积的Traffic数据修复模型模型(LCR),在各种时间序列数据的实验中比现有基线模型更有效和更高效。
Abstract
Spatiotemporal
traffic data
imputation
is of great significance in intelligent transportation systems and data-driven decision-making processes. To make an accurate reconstruction on partially observed
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