陕西师范大学学报（自然科学版）2026，Vol.54Issue(5)：106-115,10.DOI:10.15983/j.cnki.jsnu.2026510
一种面向时间序列分类的门控多尺度时空图卷积模型
GMS-STGCN:a gated multi-scale spatio-temporal graph convolutional network for time series classification
摘要
Abstract
Time series classification is a significant research direction in the fields of data mining and machine learning,with extensive applications across various domains.However,as the scale and complexity of time series data have increased substantially,efficiently capturing temporal dependencies and feature interactions within the data has become a core challenge in time series classification tasks.In recent years,an increasing number of researchers have attempted to apply graph neural networks(GNNs)to time series data that does not inherently exhibit explicit graph structures.Nevertheless,limitations remain in the construction of graph structures and the representation of the sequential nature of time series.To address these issues,a gated multi-scale spatio-temporal graph convolutional network(GMS-STGCN)is proposed for time series classification tasks.GMS-STGCN integrates multi-scale features of time series with deep learning models and graph neural networks,leveraging GNNs to extract correlations and differences among features across different scales and time slots.Additionally,a novel multi-scale feature fusion mechanism and a progressive gated propagation mechanism are designed to further extract temporal features,culminating in the integration of an attention mechanism for comprehensive feature extraction.Experimental results demonstrate that GMS-STGCN achieves superior performance on multiple public time series classification datasets,validating its effectiveness in feature interaction modeling,multi-scale feature capturing,and dynamic feature dependency modeling.关键词
时间序列分类/图神经网络/多尺度融合/门控机制/注意力机制Key words
time series classification/graph neural networks/multi-scale feature fusion/gated mechanism/attention mechanism分类
信息技术与安全科学引用本文复制引用
闫菁华,张伟,黄霖,卢昱潮..一种面向时间序列分类的门控多尺度时空图卷积模型[J].陕西师范大学学报（自然科学版）,2026,54(5):106-115,10.基金项目
广西无线宽带通信与信号处理重点实验室项目(AD25069102) （AD25069102）
广西研究生教育创新计划项目(JGY2024160) （JGY2024160）
