Graph Anomaly Detection in Time Series: A Survey

31 January 2023

Papers citing "Graph Anomaly Detection in Time Series: A Survey"

7 / 7 papers shown

Title
SoftPatch: Unsupervised Anomaly Detection with Noisy Data Xi Jiang Ying Chen Qiang Nie Y. Liu Jianlin Liu Jinbao Wang WU Kai Chengjie Wang Feng Zheng 124 59 0 21 Mar 2024
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection Chaoyue Ding Shiliang Sun Jing Zhao AI4TS 21 139 0 17 Oct 2023
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 109 97 0 16 Jun 2023
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Astha Garg Wenyu Zhang Jules Samaran R. Savitha Chuan-Sheng Foo AI4TS 27 216 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 75 144 0 11 Sep 2021
Neural Contextual Anomaly Detection for Time Series Chris U. Carmona Franccois-Xavier Aubet Valentin Flunkert Jan Gasthaus BDL AI4TS 51 54 0 16 Jul 2021
Action Sequence Augmentation for Early Graph-based Anomaly Detection Tong Zhao Bo Ni Wenhao Yu Zhichun Guo Neil Shah Meng-Long Jiang 27 19 0 20 Oct 2020