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Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

13 June 2021
Ailin Deng
Bryan Hooi
    AI4TS
ArXivPDFHTML

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

50 / 193 papers shown
Title
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed
  Evaluation Methodology
Multivariate Time Series Anomaly Detection: Fancy Algorithms and Flawed Evaluation Methodology
M. A. Sehili
Zonghua Zhang
AI4TS
13
2
0
24 Aug 2023
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models
Thi Kieu Khanh Ho
Narges Armanfard
AI4TS
50
1
0
24 Aug 2023
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly
  Detection
Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection
Haotian Si
Changhua Pei
Zhihan Li
Yadong Zhao
Jingjing Li
Haiming Zhang
Zulong Diao
Jianhui Li
Gaogang Xie
Dan Pei
AI4TS
24
4
0
17 Aug 2023
Anomaly Detection in Global Financial Markets with Graph Neural Networks
  and Nonextensive Entropy
Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy
Kleyton da Costa
16
0
0
05 Aug 2023
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly
  Detection
Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly Detection
Aofan Jiang
Chaoqin Huang
Qing Cao
Shuangxue Wu
Zi Zeng
Kang Chen
Ya-Qin Zhang
Yanfeng Wang
41
6
0
03 Aug 2023
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain
A Survey of Time Series Anomaly Detection Methods in the AIOps Domain
Zhenyu Zhong
Qiliang Fan
Jiacheng Zhang
Minghua Ma
Shenglin Zhang
Yongqian Sun
Qingwei Lin
Yuzhi Zhang
Dan Pei
AI4TS
26
6
0
01 Aug 2023
Correlation-aware Spatial-Temporal Graph Learning for Multivariate
  Time-series Anomaly Detection
Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection
Yu Zheng
Huan Yee Koh
Ming Jin
Lianhua Chi
Khoa T. Phan
Shirui Pan
Yi-Ping Phoebe Chen
Wei Xiang
AI4TS
26
25
0
17 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
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
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in
  IIoT Systems
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Meng J. Zhao
Olga Fink
32
6
0
07 Jul 2023
A Survey on Graph Neural Networks for Time Series: Forecasting,
  Classification, Imputation, and Anomaly Detection
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection
Ming Jin
Huan Yee Koh
Qingsong Wen
Daniele Zambon
Cesare Alippi
G. I. Webb
Irwin King
Shirui Pan
AI4TS
AI4CE
41
143
0
07 Jul 2023
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series
  Anomaly Detection
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen
C. Zhang
Minghua Ma
Yudong Liu
Ruomeng Ding
Bo-wen Li
Shilin He
Saravan Rajmohan
Qingwei Lin
Dongmei Zhang
DiffM
31
47
0
03 Jul 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang
Fengrui Hua
Zi-Chao Gao
P. Zhao
Jia Li
25
55
0
21 Jun 2023
Deep graph kernel point processes
Deep graph kernel point processes
Zheng Dong
Matthew Repasky
Xiuyuan Cheng
Yao Xie
3DPC
25
3
0
20 Jun 2023
DCdetector: Dual Attention Contrastive Representation Learning for Time
  Series Anomaly Detection
DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection
Yiyuan Yang
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
103
117
0
17 Jun 2023
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress,
  and Prospects
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
117
102
0
16 Jun 2023
Coupled Attention Networks for Multivariate Time Series Anomaly
  Detection
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Feng Xia
Xin Chen
Shuo Yu
Mingliang Hou
Mujie Liu
Linlin You
AI4TS
24
15
0
12 Jun 2023
Towards Semi-supervised Universal Graph Classification
Towards Semi-supervised Universal Graph Classification
Xiao Luo
Yusheng Zhao
Yifang Qin
Wei Ju
Ming Zhang
33
30
0
31 May 2023
Emergent Incident Response for Unmanned Warehouses with Multi-agent
  Systems*
Emergent Incident Response for Unmanned Warehouses with Multi-agent Systems*
Yibo Guo
Mingxin Li
Jingting Zong
Mingliang Xu
24
0
0
29 May 2023
RoLA: A Real-Time Online Lightweight Anomaly Detection System for
  Multivariate Time Series
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series
Ming-Chang Lee
Jia-Chun Lin
AI4TS
14
7
0
25 May 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
27
3
0
25 May 2023
Disentangled Causal Graph Learning for Online Unsupervised Root Cause
  Analysis
Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis
Dongjie Wang
Zhengzhang Chen
Yanjie Fu
Yanchi Liu
Haifeng Chen
CML
25
0
0
18 May 2023
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Evaluation Strategy of Time-series Anomaly Detection with Decay Function
Yongwan Gim
Kyushik Min
21
0
0
15 May 2023
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly
  Detection using Data Degradation Scheme
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme
Yungi Jeong
Eu-Hui Yang
Jung Hyun Ryu
Imseong Park
Myung-joo Kang
ViT
AI4TS
15
28
0
08 May 2023
Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control
  System
Two-phase Dual COPOD Method for Anomaly Detection in Industrial Control System
Emmanuel Aboah Boateng
Jerry Bruce
22
0
0
30 Apr 2023
Graph Neural Network-Based Anomaly Detection for River Network Systems
Graph Neural Network-Based Anomaly Detection for River Network Systems
Katie Buchhorn
E. Santos‐Fernandez
Kerrie Mengersen
Roberto Salomone
23
6
0
19 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
54
141
0
11 Apr 2023
Deep Anomaly Detection on Tennessee Eastman Process Data
Deep Anomaly Detection on Tennessee Eastman Process Data
Fabian Hartung
Billy Joe Franks
Tobias Michels
Dennis Wagner
Philipp Liznerski
...
Stephan Mandt
Michael Bortz
Jakob Burger
Hans Hasse
Marius Kloft
22
6
0
10 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly
  Detection in Time Series
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series
Sondre Sørbø
M. Ruocco
AI4TS
34
19
0
02 Mar 2023
CNTS: Cooperative Network for Time Series
CNTS: Cooperative Network for Time Series
Jinsheng Yang
Yuanhai Shao
Chunna Li
AI4TS
16
2
0
20 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate
  Time Series Data
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data
Ling Yu
AI4TS
28
27
0
17 Feb 2023
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
Quantile LSTM: A Robust LSTM for Anomaly Detection In Time Series Data
Snehanshu Saha
Jyotirmoy Sarkar
S. Dhavala
S. Sarkar
Preyank Mota
AI4TS
18
3
0
17 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Taming Local Effects in Graph-based Spatiotemporal Forecasting
Andrea Cini
Ivan Marisca
Daniele Zambon
Cesare Alippi
AI4TS
32
31
0
08 Feb 2023
Unsupervised Deep Learning for IoT Time Series
Unsupervised Deep Learning for IoT Time Series
Ya Liu
Ying Zhou
Kai Yang
X. Wang
AI4TS
39
33
0
07 Feb 2023
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting
Katrina Chen
M. Feng
T. Wirjanto
AI4TS
11
6
0
04 Feb 2023
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause
  Localization
Hierarchical Graph Neural Networks for Causal Discovery and Root Cause Localization
Dongjie Wang
Zhengzhang Chen
Jingchao Ni
Liang Tong
Zheng Wang
Yanjie Fu
Haifeng Chen
AI4CE
11
17
0
03 Feb 2023
Knowledge Distillation on Graphs: A Survey
Knowledge Distillation on Graphs: A Survey
Yijun Tian
Shichao Pei
Xiangliang Zhang
Chuxu Zhang
Nitesh V. Chawla
21
28
0
01 Feb 2023
Graph Anomaly Detection in Time Series: A Survey
Graph Anomaly Detection in Time Series: A Survey
Thi Kieu Khanh Ho
Ali Karami
Narges Armanfard
AI4TS
26
5
0
31 Jan 2023
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method
  Based on an Autoencoder in Wireless Sensor Networks
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks
Miao Ye
Qinghao Zhang
Xingsi Xue
Yong Wang
Qiuxiang Jiang
Hongbing Qiu
13
0
0
26 Dec 2022
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
FedTADBench: Federated Time-Series Anomaly Detection Benchmark
Fanxing Liu
Cheng Zeng
Le Zhang
Yingjie Zhou
Qing Mu
Yanru Zhang
Ling Zhang
Ce Zhu
OOD
FedML
AI4TS
31
8
0
19 Dec 2022
Graph Learning for Anomaly Analytics: Algorithms, Applications, and
  Challenges
Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
Jing Ren
Feng Xia
Azadeh Noori Hoshyar
Charu C. Aggarwal
42
26
0
11 Dec 2022
Face Forgery Detection Based on Facial Region Displacement Trajectory
  Series
Face Forgery Detection Based on Facial Region Displacement Trajectory Series
Yuyang Sun
Zhiyong Zhang
Isao Echizen
H. Nguyen
Changzhen Qiu
Lu Sun
CVBM
23
14
0
07 Dec 2022
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate
  Time Series
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series
Wei-Shu Xiong
Xiaochen (Michael) Sun
AI4TS
11
1
0
22 Nov 2022
Deep Learning for Time Series Anomaly Detection: A Survey
Deep Learning for Time Series Anomaly Detection: A Survey
Zahra Zamanzadeh Darban
G. I. Webb
Shirui Pan
Charu C. Aggarwal
Mahsa Salehi
AI4TS
37
129
0
09 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly
  Detection
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection
Jun Zhan
Chengkun Wu
Canqun Yang
Qiucheng Miao
Xiandong Ma
AI4TS
16
2
0
01 Nov 2022
Empowering Graph Representation Learning with Test-Time Graph
  Transformation
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin
Tong Zhao
Jiayu Ding
Yozen Liu
Jiliang Tang
Neil Shah
OOD
86
60
0
07 Oct 2022
Edge-Varying Fourier Graph Networks for Multivariate Time Series
  Forecasting
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting
Kun Yi
Qi Zhang
Liang Hu
Hui He
Ning An
LongBing Cao
ZhenDong Niu
AI4TS
59
3
0
06 Oct 2022
Graph Anomaly Detection with Graph Neural Networks: Current Status and
  Challenges
Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
Hwan Kim
Byung Suk Lee
Won-Yong Shin
Sungsu Lim
GNN
25
66
0
29 Sep 2022
Activation Learning by Local Competitions
Activation Learning by Local Competitions
Hongchao Zhou
AAML
29
7
0
26 Sep 2022
An Unsupervised Short- and Long-Term Mask Representation for
  Multivariate Time Series Anomaly Detection
An Unsupervised Short- and Long-Term Mask Representation for Multivariate Time Series Anomaly Detection
Qiucheng Miao
Chuanfu Xu
Jun Zhan
Dong Zhu
Cheng-Feng Wu
AI4TS
26
7
0
19 Aug 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label
Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou
Jiming Chen
Haoyu Liu
Shibo He
Wenchao Meng
AI4TS
32
22
0
03 Aug 2022
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