Correlation-aware Spatial-Temporal Graph Learning for Multivariate
Time-series Anomaly Detection

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

17 July 2023

Ming Jin

Yi-Ping Phoebe Chen

Papers citing "Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection"

8 / 8 papers shown

Title
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection Wenxin Zhang Ding Xu Guangzhen Yao Xiaojian Lin Renxiang Guan Chengze Du Renda Han Xi Xuan Cuicui Luo AI4TS 56 0 0 02 May 2025
Topological Analysis for Detecting Anomalies (TADA) in Time Series Frédéric Chazal Martin Royer Clément Levrard 46 0 0 10 Jun 2024
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Kexin Zhang Qingsong Wen Chaoli Zhang Rongyao Cai Ming Jin ... James Y. Zhang Y. Liang Guansong Pang Dongjin Song Shirui Pan AI4TS 114 102 0 16 Jun 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection Marcin Pietroñ Dominik Zurek Kamil Faber Roberto Corizzo 22 3 0 25 May 2023
Trustworthy Graph Neural Networks: Aspects, Methods and Trends He Zhang Bang Wu Xingliang Yuan Shirui Pan Hanghang Tong Jian Pei 45 104 0 16 May 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series Tareq Tayeh Sulaiman A. Aburakhia Ryan Myers Abdallah Shami AI4TS 39 33 0 23 Jan 2022
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Astha Garg Wenyu Zhang Jules Samaran R. Savitha Chuan-Sheng Foo AI4TS 36 223 0 23 Sep 2021
Towards a Rigorous Evaluation of Time-series Anomaly Detection Siwon Kim K. Choi Hyun-Soo Choi Byunghan Lee Sungroh Yoon AI4TS 83 147 0 11 Sep 2021