MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time
Series Anomaly Detection

MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection

17 October 2023

Papers citing "MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection"

15 / 15 papers shown

Title
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey Haoqi Huang Ping Wang Jianhua Pei Jiacheng Wang Shahen Alexanian Dusit Niyato AAML 83 0 0 17 Mar 2025
Integrating Biological and Machine Intelligence: Attention Mechanisms in Brain-Computer Interfaces J. Wang Weishan Ye Jialin He Li Zhang G. Huang Zhuliang Yu Zhen Liang 80 0 0 26 Feb 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection Qingxiang Liu Chenghao Liu Sheng Sun Di Yao Yuxuan Liang AI4TS 62 0 0 30 Jan 2025
Unveiling the Potential of Text in High-Dimensional Time Series Forecasting Xin Zhou Weiqing Wang Shilin Qu Zhiqiang Zhang Christoph Bergmeir AI4TS 49 2 0 13 Jan 2025
Multimodal video analysis for crowd anomaly detection using open access tourism cameras Alejandro Dionis-Ros Joan Vila-Francés R. Magdalena-Benedicto Fernando Mateo Antonio J. Serrano 30 1 0 21 May 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 15 0 29 Feb 2024
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection H. Jo Seong-Whan Lee 30 2 0 25 Jan 2024
Machine Learning on Dynamic Graphs: A Survey on Applications Sanaz Hasanzadeh Fard AI4CE 26 3 0 16 Jan 2024
MAD-MulW: A Multi-Window Anomaly Detection Framework for BGP Security Events Songtao Peng Yiping Chen Xincheng Shu Shuai Wu Shenhao Fang Zhongyuan Ruan Qi Xuan 23 3 0 18 Dec 2023
Unraveling the "Anomaly" in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Yuting Sun Guansong Pang Guanhua Ye Tong Chen Xia Hu Hongzhi Yin 30 8 0 19 Nov 2023
Uncertainty-Aware Probabilistic Graph Neural Networks for Road-Level Traffic Accident Prediction Xiaowei Gao Xinke Jiang Dingyi Zhuang Huanfa Chen Shenhao Wang Stephen Law James Haworth 20 7 0 10 Sep 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 57 0 11 Jul 2023
Graph Anomaly Detection in Time Series: A Survey Thi Kieu Khanh Ho Ali Karami Narges Armanfard AI4TS 26 5 0 31 Jan 2023
Boosting Urban Traffic Speed Prediction via Integrating Implicit Spatial Correlations Dongkun Wang Wei Fan Pengyang Wang P. Wang Dongjie Wang Denghui Zhang Yanjie Fu 43 0 0 25 Dec 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016