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Learning Graph Structures with Transformer for Multivariate Time Series
  Anomaly Detection in IoT
v1v2v3 (latest)

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

IEEE Internet of Things Journal (IEEE IoT Journal), 2021
8 April 2021
Zekai Chen
Dingshuo Chen
Xiao Zhang
Zixuan Yuan
Xiuzhen Cheng
    AI4TS
ArXiv (abs)PDFHTMLGithub (133★)

Papers citing "Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT"

50 / 86 papers shown
A Modular Framework for Rapidly Building Intrusion Predictors
A Modular Framework for Rapidly Building Intrusion Predictors
Xiaoxuan Wang
Rolf Stadler
118
0
0
28 Nov 2025
RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
RED-F: Reconstruction-Elimination based Dual-stream Contrastive Forecasting for Multivariate Time Series Anomaly Prediction
PengYu Chen
Xiaohou Shi
Yuan Chang
Yan Sun
Sajal K. Das
AI4TS
460
0
0
25 Nov 2025
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detection
Kaixiang Yang
Jiarong Liu
Yupeng Song
Shuanghua Yang
Yujue Zhou
AI4TS
281
0
0
24 Nov 2025
Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning
Crisis-Resilient Portfolio Management via Graph-based Spatio-Temporal Learning
Zan Li
Rui Fan
AI4TS
140
1
0
23 Oct 2025
A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
A Comprehensive Forecasting-Based Framework for Time Series Anomaly Detection: Benchmarking on the Numenta Anomaly Benchmark (NAB)
Mohammad Karami
Mostafa Jalali
Fatemeh Ghassemi
AI4TS
262
0
0
13 Oct 2025
Budgeted Adversarial Attack against Graph-Based Anomaly Detection in Sensor Networks
Budgeted Adversarial Attack against Graph-Based Anomaly Detection in Sensor Networks
Sanju Xaviar
Omid Ardakanian
AAML
135
0
0
22 Sep 2025
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly Detection
Prospective Multi-Graph Cohesion for Multivariate Time Series Anomaly DetectionWeb Search and Data Mining (WSDM), 2025
Jiazhen Chen
M. Feng
T. Wirjanto
AI4TS
130
3
0
21 Sep 2025
AnoF-Diff: One-Step Diffusion-Based Anomaly Detection for Forceful Tool Use
AnoF-Diff: One-Step Diffusion-Based Anomaly Detection for Forceful Tool Use
Yating Lin
Zixuan Huang
Fan Yang
Dmitry Berenson
146
0
0
18 Sep 2025
Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification
Dynamic Adaptive Parsing of Temporal and Cross-Variable Patterns for Network State Classification
Yuan Gao
Xuelong Wang
Zhenguo Dong
Xicheng Zhang
101
1
0
15 Sep 2025
DQS: A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches
DQS: A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches
Lucas Correia
Jan-Christoph Goos
Thomas Bäck
Anna V. Kononova
AI4TS
203
0
0
06 Sep 2025
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
ChronoGraph: A Real-World Graph-Based Multivariate Time Series Dataset
Adrian Catalin Lutu
Ioana Pintilie
Elena Burceanu
Andrei Manolache
AI4TS
202
0
0
04 Sep 2025
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Data-driven Day Ahead Market Prices Forecasting: A Focus on Short Training Set Windows
Vasilis Michalakopoulos
C. Menos-Aikateriniadis
Elissaios Sarmas
Antonis Zakynthinos
P. Georgilakis
D. Askounis
AI4TS
343
0
0
12 Jun 2025
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
A New Spatiotemporal Correlation Anomaly Detection Method that Integrates Contrastive Learning and Few-Shot Learning in Wireless Sensor Networks
Miao Ye
Suxiao Wang
Jiaguang Han
Yong Wang
Xiaoli Wang
Jingxuan Wei
Peng Wen
Jing Cui
237
0
0
31 May 2025
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series
Md Mahmuddun Nabi Murad
Yasin Yilmaz
290
0
0
30 May 2025
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Large Language models for Time Series Analysis: Techniques, Applications, and Challenges
Feifei Shi
Xueyan Yin
Kang Wang
Wanyu Tu
Qifu Sun
Huansheng Ning
AI4TS
238
1
0
21 May 2025
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
Yazan Otoum
Arghavan Asad
Amiya Nayak
620
21
0
01 May 2025
TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native Systems
TAMO: Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data in Cloud-Native SystemsIEEE Transactions on Services Computing (TSC), 2025
Qi. Wang
Qi. Wang
Mingyi Li
Yuan Yuan
Mengbai Xiao
Fuzhen Zhuang
Dongxiao Yu
1.1K
6
0
29 Apr 2025
Decomposition-based multi-scale transformer framework for time series anomaly detection
Decomposition-based multi-scale transformer framework for time series anomaly detectionNeural Networks (NN), 2025
Wenxin Zhang
Cuicui Luo
AI4TS
419
31
0
19 Apr 2025
Possibility for Proactive Anomaly Detection
Possibility for Proactive Anomaly Detection
Jinsung Jeon
Jaehyeon Park
Sewon Park
Jeongwhan Choi
Minjung Kim
Noseong Park
AI4TS
275
2
0
15 Apr 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TSAI4CE
494
15
0
05 Apr 2025
Deep Learning Advancements in Anomaly Detection: A Comprehensive Survey
Deep Learning Advancements in Anomaly Detection: A Comprehensive SurveyIEEE Internet of Things Journal (IEEE IoT J.), 2025
Haoqi Huang
Ping Wang
Jianhua Pei
Jiacheng Wang
Shahen Alexanian
Dusit Niyato
AAML
404
51
0
17 Mar 2025
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor Network
A Novel Spatiotemporal Correlation Anomaly Detection Method Based on Time-Frequency-Domain Feature Fusion and a Dynamic Graph Neural Network in Wireless Sensor NetworkIEEE Sensors Journal (IEEE Sens. J.), 2025
Miao Ye
Zhibang Jiang
Xingsi Xue
Xingwang Li
Peng Wen
Yong Wang
AI4TS
291
8
0
25 Feb 2025
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
Zero-shot Load Forecasting for Integrated Energy Systems: A Large Language Model-based Framework with Multi-task Learning
Jiaheng Li
Donghe Li
Ye Yang
Huan Xi
Yu Xiao
Li Sun
Dou An
Qingyu Yang
AI4TS
394
10
0
24 Feb 2025
Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
Danial Abshari
Meera Sridhar
303
27
0
18 Feb 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger CausalityAAAI Conference on Artificial Intelligence (AAAI), 2025
Zehao Liu
Mengzhou Gao
Pengfei Jiao
CMLAI4TS
280
12
0
23 Jan 2025
GraphSubDetector: Time Series Subsequence Anomaly Detection via
  Density-Aware Adaptive Graph Neural Network
GraphSubDetector: Time Series Subsequence Anomaly Detection via Density-Aware Adaptive Graph Neural Network
Weiqi Chen
Zhiqiang Zhou
Qingsong Wen
Lin Sun
AI4TS
349
0
0
26 Nov 2024
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly DetectionKnowledge Discovery and Data Mining (KDD), 2024
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
572
12
0
18 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor NetworksJournal of Network and Computer Applications (JNCA), 2024
Pau Ferrer-Cid
Jose M. Barcelo-Ordinas
J. García-Vidal
744
6
0
28 Oct 2024
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection
  with Multi-scale Reconstructive Contrast
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast
Shiyan Hu
Kai Zhao
Xiangfei Qiu
Yang Shu
Jilin Hu
Bin Yang
Chenjuan Guo
AI4TS
357
21
0
21 Oct 2024
Towards Unbiased Evaluation of Time-series Anomaly Detector
Towards Unbiased Evaluation of Time-series Anomaly DetectorIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
Debarpan Bhattacharya
Sumanta Mukherjee
Chandramouli Kamanchi
Vijay Ekambaram
Arindam Jati
Pankaj Dayama
AI4TS
378
2
0
19 Sep 2024
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation
  Models
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models
Nobuo Namura
Yuma Ichikawa
AI4TS
336
4
0
27 Aug 2024
Hypergraph Learning based Recommender System for Anomaly Detection,
  Control and Optimization
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
AI4TS
195
5
0
21 Aug 2024
Agentic Retrieval-Augmented Generation for Time Series Analysis
Agentic Retrieval-Augmented Generation for Time Series Analysis
Chidaksh Ravuru
Sagar Srinivas Sakhinana
Venkataramana Runkana
AI4TS
313
24
0
18 Aug 2024
Online Model-based Anomaly Detection in Multivariate Time Series:
  Taxonomy, Survey, Research Challenges and Future Directions
Online Model-based Anomaly Detection in Multivariate Time Series: Taxonomy, Survey, Research Challenges and Future DirectionsEngineering applications of artificial intelligence (EAAI), 2024
Lucas Correia
Jan-Christoph Goos
Philipp Klein
Thomas Bäck
Anna V. Kononova
AI4TS
453
23
0
07 Aug 2024
Graph Transformers: A Survey
Graph Transformers: A Survey
Ahsan Shehzad
Xiwei Xu
Shagufta Abid
Ciyuan Peng
Shuo Yu
Dongyu Zhang
Karin Verspoor
AI4CE
452
55
0
13 Jul 2024
Deep Learning-based Anomaly Detection and Log Analysis for Computer
  Networks
Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks
Shuzhan Wang
Ruxue Jiang
Zhaoqi Wang
Yan Zhou
364
46
0
08 Jul 2024
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network
  and Transformer
Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer
Antor Hasan
Conrado Boeira
K. Papry
Yue Ju
Zhongwen Zhu
I. Haque
145
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0
21 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
Ocheme Anthony Ekle
William Eberle
AI4TS
398
53
0
31 May 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
585
32
0
24 May 2024
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?International Conference on Machine Learning (ICML), 2024
M. Sarfraz
Mei-Yen Chen
Lukas Layer
Kunyu Peng
Marios Koulakis
392
13
0
04 May 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with
  Reconstruction Error from Sub-Adjacent Neighborhoods
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue
Xianghua Ying
Ruohao Guo
DongDong Chen
Ji Shi
Bowei Xing
Yuqing Zhu
Taiyan Chen
AI4TS
234
14
0
27 Apr 2024
HCL-MTSAD: Hierarchical Contrastive Consistency Learning for Accurate Detection of Industrial Multivariate Time Series Anomalies
Haili Sun
Yan-Ming Huang
Lansheng Han
Cai Fu
Chunjie Zhou
335
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0
12 Apr 2024
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in
  Resource-Constrained CPS and IoT
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Yi Hu
Jinhang Zuo
Alanis Zhao
Bob Iannucci
Carlee Joe-Wong
244
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27 Mar 2024
A task of anomaly detection for a smart satellite Internet of things
  system
A task of anomaly detection for a smart satellite Internet of things system
Zilong Shao
125
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From Chaos to Clarity: Time Series Anomaly Detection in Astronomical
  Observations
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsIEEE International Conference on Data Engineering (ICDE), 2024
Xinli Hao
Yile Chen
Chen Yang
Zhihui Du
Chaohong Ma
Chao Wu
Xiaofeng Meng
320
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MCformer: Multivariate Time Series Forecasting with Mixed-Channels
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Wenyong Han
Tao Zhu
L. Chen
Huansheng Ning
Yang Luo
Yaping Wan
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209
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Edge Conditional Node Update Graph Neural Network for Multi-variate Time
  Series Anomaly Detection
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H. Jo
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PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
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Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
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493
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The Role of Deep Learning in Advancing Proactive Cybersecurity Measures
  for Smart Grid Networks: A Survey
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Graph Spatiotemporal Process for Multivariate Time Series Anomaly
  Detection with Missing Values
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Yu Zheng
Huan Yee Koh
Ming Jin
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Haishuai Wang
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Shirui Pan
Wei Xiang
AI4TS
258
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