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1

Anomaly detection for multivariate time series based on dual-graph and multi-level contrastive learning

基于双图与多层次对比的多变量时间序列异常检测方法

Wu Yulu

Ling Jie

multivariate time series

anomaly detection

graph neural network

contrastive learning

Accepted Paper No. 2, 2026 : doi:10.19734/j.issn.1001-3695.2025.07.0236

2

Integrating contrastive learning dual-branch multivariate time series anomaly detection method

结合对比学习的双分支多维时间序列异常检测方法

Zhou Dan

Ling Jie

anomaly detection

multivariate time series

contrastive learning

graph convolution

No. 2, 2025 : 507-513 doi:10.19734/j.issn.1001-3695.2024.07.0286

3

Robust anomaly detection for multivariate time series based on adversarial mutual information

结合对抗互信息的多变量时间序列抗噪异常检测

Zhang Benchu

Qiao Yan

Hu Rongyao

multivariable time series

robust anomaly detection

generative adversarial learning

contrastive learning

mutual information maximization

No. 8, 2024 : 2384-2391 doi:10.19734/j.issn.1001-3695.2023.11.0579

4

Multivariate time series forecasting with spatio-temporal graph convolutional network

基于时空图卷积网络的多变量时间序列预测方法

Li Huai'ao

Zhou Xiaofeng

Fang Lingshen

Li Shuai

Liu Shurui

multivariate time series forecasting

spatio-temporal graph convolutional network(GCN)

graph neural network

temporal convolutional network(TCN)

No. 12, 2022 : 3568-3573 doi:10.19734/j.issn.1001-3695.2022.05.0235

Search multivariate time series

Searchmultivariate time seriesreturned 4 results

Anomaly detection for multivariate time series based on dual-graph and multi-level contrastive learning

Integrating contrastive learning dual-branch multivariate time series anomaly detection method

Robust anomaly detection for multivariate time series based on adversarial mutual information

Multivariate time series forecasting with spatio-temporal graph convolutional network