Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

13 June 2021

Bryan Hooi

Papers citing "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

43 / 193 papers shown

Title
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection Hongzuo Xu Yijie Wang Songlei Jian Qing Liao Yongjun Wang Guansong Pang AI4TS 21 40 0 25 Jul 2022
Deep Isolation Forest for Anomaly Detection Hongzuo Xu Guansong Pang Yijie Wang Yongjun Wang 35 183 0 14 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems Armin Danesh Pazho Ghazal Alinezhad Noghre Arnab A. Purkayastha Jagannadh Vempati Otto Martin Hamed Tabkhi GNN 18 35 0 08 Jun 2022
Leveraging Systematic Knowledge of 2D Transformations Jiachen Kang W. Jia Xiangjian He 14 4 0 02 Jun 2022
Sparse Graph Learning from Spatiotemporal Time Series Andrea Cini Daniele Zambon Cesare Alippi CML AI4TS 43 18 0 26 May 2022
Faithful Explanations for Deep Graph Models Zifan Wang Yuhang Yao Chaoran Zhang Han Zhang Youjie Kang Carlee Joe-Wong Matt Fredrikson Anupam Datta FAtt 24 2 0 24 May 2022
GraphAD: A Graph Neural Network for Entity-Wise Multivariate Time-Series Anomaly Detection Xu Chen Qiu Qiu Changshan Li Kunqing Xie AI4TS 19 12 0 23 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding Zhi Qi Hong Xie Ye Li Jian Tan Feifei Li John C. S. Lui AI4TS 11 1 0 05 May 2022
Hybrid Cloud-Edge Collaborative Data Anomaly Detection in Industrial Sensor Networks Tao Yang Jinming Wang Weijie Hao Qiang Yang Wen-Hung Wang 23 2 0 21 Apr 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis Shifu Yan Caihua Shan Wenyi Yang Bixiong Xu Dongsheng Li Lili Qiu Jie Tong Qi Zhang 14 4 0 30 Mar 2022
Graph Neural Networks in IoT: A Survey Guimin Dong Mingyue Tang Zhiyuan Wang Jiechao Gao Sikun Guo Lihua Cai Robert Gutierrez Brad Campbell Laura E. Barnes M. Boukhechba GNN AI4CE 40 96 0 29 Mar 2022
Multivariate Time Series Forecasting with Latent Graph Inference Victor Garcia Satorras Syama Sundar Rangapuram Tim Januschowski AI4TS 41 28 0 07 Mar 2022
Self-Supervised and Interpretable Anomaly Detection using Network Transformers Daniel L. Marino Chathurika S. Wickramasinghe C. Rieger Milos Manic 29 8 0 25 Feb 2022
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks Haoyu Liu P. Patras AAML 21 10 0 20 Feb 2022
A Novel Anomaly Detection Method for Multimodal WSN Data Flow via a Dynamic Graph Neural Network Qinghao Zhang Miao Ye Hongbing Qiu Yong Wang Xiaofang Deng 22 13 0 19 Feb 2022
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai Jie Chen BDL AI4TS 8 70 0 16 Feb 2022
Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection Cristian Challu Peihong Jiang Ying Nian Wu Laurent Callot BDL AI4TS 16 25 0 15 Feb 2022
Two-Stage Deep Anomaly Detection with Heterogeneous Time Series Data Kyeong-Joong Jeong Jin-Duk Park Kyusoon Hwang Seong-Lyun Kim Won-Yong Shin 6 6 0 10 Feb 2022
Detecting Anomalies within Time Series using Local Neural Transformations Tim Schneider Chen Qiu Marius Kloft Decky Aspandi Latif Steffen Staab Stephan Mandt Maja R. Rudolph AI4TS 24 18 0 08 Feb 2022
EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation Haowei He Junzhe Zhang Yanan Wang Benben Jiang Shaobo Huang ... Gengang Xiong X. Han Dongxu Guo Guannan He M. Ouyang 12 3 0 28 Jan 2022
Time-Series Anomaly Detection with Implicit Neural Representation Kyeong-Joong Jeong Yong-Min Shin BDL AI4TS 49 15 0 28 Jan 2022
Community-based anomaly detection using spectral graph filtering Rodrigo Francisquini A. C. Lorena M. C. Nascimento 24 14 0 24 Jan 2022
Balanced Graph Structure Learning for Multivariate Time Series Forecasting Weijun Chen Yanze Wang Chengshuo Du Zhenglong Jia Feng Liu Ran Chen AI4TS 23 1 0 24 Jan 2022
TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data Shreshth Tuli G. Casale N. Jennings AI4TS 26 471 0 18 Jan 2022
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data Stefan Bloemheuvel Jurgen van den Hoogen Dario Jozinović A. Michelini Martin Atzmueller AI4TS 18 45 0 03 Jan 2022
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection Yu-xin Zhang Jindong Wang Yiqiang Chen Hanchao Yu Tao Qin AI4TS 33 54 0 03 Jan 2022
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models Tijin Yan Tong Zhou Yufeng Zhan Yuanqing Xia DiffM 21 7 0 20 Dec 2021
DeepFIB: Self-Imputation for Time Series Anomaly Detection Minhao Liu Zhijian Xu Qiang Xu AI4TS 27 4 0 12 Dec 2021
Fast and scalable neuroevolution deep learning architecture search for multivariate anomaly detection Marcin Pietroñ Dominik Zurek Kamil Faber R. Corizzo 25 4 0 10 Dec 2021
LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks Adam Goodge Bryan Hooi See Kiong Ng Wee Siong Ng 14 104 0 10 Dec 2021
Learning Graph Neural Networks for Multivariate Time Series Anomaly Detection Saswati Ray S. Lakdawala Mononito Goswami Chufan Gao BDL 11 4 0 15 Nov 2021
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data Yijun Lin Yao-Yi Chiang AI4TS 16 1 0 14 Oct 2021
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy Jiehui Xu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 17 476 0 06 Oct 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
A Study of Joint Graph Inference and Forecasting Daniel Zügner François-Xavier Aubet Victor Garcia Satorras Tim Januschowski Stephan Günnemann Jan Gasthaus AI4TS AI4CE 18 12 0 10 Sep 2021
Federated Variational Learning for Anomaly Detection in Multivariate Time Series Kai Zhang Yushan Jiang Lee M. Seversky Chengtao Xu Dahai Liu H. Song AI4TS 14 26 0 18 Aug 2021
DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction Siyuan Ren Bin Guo LongBing Cao Ke Li Jiaqi Liu Zhiwen Yu 8 8 0 18 Aug 2021
Event2Graph: Event-driven Bipartite Graph for Multivariate Time-series Anomaly Detection Yuhang Wu Mengting Gu Lan Wang Yusan Lin Fei Wang Hao Yang AI4TS 27 8 0 15 Aug 2021
Ensemble neuroevolution based approach for multivariate time series anomaly detection Kamil Faber Dominik Zurek Marcin Pietroñ Kamil Piętak 18 24 0 08 Aug 2021
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT Zekai Chen Dingshuo Chen Xiao Zhang Zixuan Yuan Xiuzhen Cheng AI4TS 25 331 0 08 Apr 2021
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey Konstantinos Benidis Syama Sundar Rangapuram Valentin Flunkert Bernie Wang Danielle C. Maddix ... David Salinas Lorenzo Stella François-Xavier Aubet Laurent Callot Tim Januschowski AI4TS 25 176 0 21 Apr 2020
A flexible outlier detector based on a topology given by graph communities O. R. Terrades A. Berenguel D. Gil 12 4 0 18 Feb 2020