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"

50 / 193 papers shown

Title
Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph Yuxiang Wang Xiao Yan Shiyu Jin Quanqing Xu Chuang Hu Yuanyuan Zhu Bo Du Jia Wu Jiawei Jiang 29 0 0 13 May 2025
TAMO:Fine-Grained Root Cause Analysis via Tool-Assisted LLM Agent with Multi-Modality Observation Data Qi. Wang Xiao Zhang Mingyi Li Yuan Yuan Mengbai Xiao Fuzhen Zhuang Dongxiao Yu 31 0 0 29 Apr 2025
Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series Xuhang Chen Ihsane Olakorede Stefan Yu Bögli Wenhao Xu Erta Beqiri ... Chenyu Tang Zeyu Gao Shuo Gao A. Ercole P. Smielewski OOD 59 0 0 29 Apr 2025
Uncovering Issues in the Radio Access Network by Looking at the Neighbors José Suárez-Varela Andra Lutu 23 0 0 20 Apr 2025
Possibility for Proactive Anomaly Detection Jinsung Jeon Jaehyeon Park Sewon Park Jeongwhan Choi Minjung Kim Noseong Park AI4TS 32 0 0 15 Apr 2025
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks Lahiru Akmeemana Chamodya Attanayake Husni Faiz Sandareka Wickramanayake MLAU AI4TS 66 0 0 31 Mar 2025
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
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection Long Tan Le Tung Nguyen Han Shu Suranga Seneviratne Choong Seon Hong Nguyen Tran 45 0 0 14 Mar 2025
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph Shule Hao Junpeng Bao Chuncheng Lu AI4TS KELM 49 0 0 10 Mar 2025
Interpretable Transformation and Analysis of Timelines through Learning via Surprisability O. Mokryn Teddy Lazebnik Hagit Ben-Shoshan AI4TS 65 0 0 06 Mar 2025
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series Sneh Pillai AI4TS 58 0 0 05 Mar 2025
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator Interest Yuhan Jing Yufei Guo Lei Zhang Haifeng Sun Bo He Zirui Zhuang Chengsen Wang Q. Qi Jianxin Liao AI4TS 58 0 0 03 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 Miao Ye Zhibang Jiang Xingsi Xue Xingwang Li Peng Wen Yong Wang AI4TS 38 0 0 25 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
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality Zehao Liu Mengzhou Gao Pengfei Jiao CML AI4TS 45 1 0 23 Jan 2025
Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence Liekang Zeng Shengyuan Ye Xu Chen Xiaoxi Zhang Ju Ren Jian Tang Yang Yang Xuemin Shen 57 2 0 08 Jan 2025
A Generalizable Anomaly Detection Method in Dynamic Graphs Xiao Yang Xuejiao Zhao Zhiqi Shen 81 1 0 21 Dec 2024
Multivariate Time Series Clustering for Environmental State Characterization of Ground-Based Gravitational-Wave Detectors Rutuja Gurav Isaac Kelly Pooyan Goodarzi Anamaria Effler Barry Barish Evangelos E. Papalexakis Jonathan Richardson 67 0 0 13 Dec 2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework Amirabbas Afzali Hesam Hosseini Mohmmadamin Mirzai Arash Amini AI4TS 72 1 0 25 Nov 2024
UniGAD: Unifying Multi-level Graph Anomaly Detection Yiqing Lin Jianheng Tang Chenyi Zi Haihong Zhao Yuan Yao Jia Li 36 1 0 10 Nov 2024
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis Alexandros Gkillas Aris Lalos 25 1 0 06 Nov 2024
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel Approach Shelei Li Yong Chai Tan Tai Vincent 41 0 0 04 Nov 2024
A Review of Graph-Powered Data Quality Applications for IoT Monitoring Sensor Networks Pau Ferrer-Cid Jose M. Barcelo-Ordinas J. García-Vidal 42 2 0 28 Oct 2024
CATCH: Channel-Aware multivariate Time Series Anomaly Detection via Frequency Patching Xingjian Wu Xiangfei Qiu Zhengyu Li Yihang Wang Jilin Hu Chenjuan Guo Hui Xiong Bin Yang AI4TS 61 12 0 16 Oct 2024
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting Xiao Lin Zhining Liu Dongqi Fu Ruizhong Qiu Hanghang Tong AAML AI4TS 54 6 0 03 Oct 2024
Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective Chengsen Wang Qi Qi Jingyu Wang Haifeng Sun Zirui Zhuang Jinming Wu Jianxin Liao AI4TS 26 8 0 27 Sep 2024
A Survey of Spatio-Temporal EEG data Analysis: from Models to Applications Pengfei Wang Huanran Zheng Silong Dai Yiqiao Wang Xiaotian Gu Yuanbin Wu Xiaoling Wang SyDa AI4TS 45 3 0 26 Sep 2024
Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve K. Zhou Yan Qin Chau Yuen 21 5 0 30 Aug 2024
Channel-wise Influence: Estimating Data Influence for Multivariate Time Series Muyao Wang Zeke Xie Bo Chen AI4TS TDI 47 0 0 27 Aug 2024
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Models Nobuo Namura Yuma Ichikawa AI4TS 32 1 0 27 Aug 2024
Reprogramming Foundational Large Language Models(LLMs) for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana AI4TS 30 0 0 26 Aug 2024
Advancing Enterprise Spatio-Temporal Forecasting Applications: Data Mining Meets Instruction Tuning of Language Models For Multi-modal Time Series Analysis in Low-Resource Settings Sagar Srinivas Sakhinana Geethan Sannidhi Chidaksh Ravuru Venkataramana Runkana AI4TS 30 0 0 24 Aug 2024
Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis Zhe Liu Xiang Huang Jingyun Zhang Zhifeng Hao Li Sun Hao Peng AI4TS 21 4 0 23 Aug 2024
Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana 35 0 0 22 Aug 2024
Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning Sagar Srinivas Sakhinana Krishna Sai Sudhir Aripirala Shivam Gupta Venkataramana Runkana BDL AI4TS AI4CE 35 0 0 22 Aug 2024
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana AI4TS 29 2 0 21 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 38 2 0 21 Aug 2024
Unveiling the Flaws: A Critical Analysis of Initialization Effect on Time Series Anomaly Detection Alex Koran H. Hojjati Narges Armanfard 34 2 0 13 Aug 2024
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure Peng Yuan Peng Tang 41 1 0 09 Aug 2024
Cluster-Wide Task Slowdown Detection in Cloud System Feiyi Chen Yingying Zhang Lunting Fan Yuxuan Liang Guansong Pang Qingsong Wen Shuiguang Deng 36 1 0 08 Aug 2024
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics Mengjie Zhao C. Taal Stephan Baggerohr Olga Fink AI4CE 30 2 0 26 Jul 2024
Harnessing Feature Clustering For Enhanced Anomaly Detection With Variational Autoencoder And Dynamic Threshold Tolulope Ale Nicole-Jeanne Schlegel V. P Janeja 16 1 0 14 Jul 2024
Seamless Monitoring of Stress Levels Leveraging a Universal Model for Time Sequences Davide Gabrielli Bardh Prenkaj Paola Velardi 34 0 0 04 Jul 2024
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B Aditya Prakash AI4TS 45 0 0 02 Jul 2024
Self-Supervised Spatial-Temporal Normality Learning for Time Series Anomaly Detection Yutong Chen Hongzuo Xu Guansong Pang Hezhe Qiao Yuan Zhou Mingsheng Shang AI4TS 40 1 0 28 Jun 2024
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation K. Choi Jihun Yi J. Mok Sungroh Yoon 27 1 0 18 Jun 2024
LEMMA-RCA: A Large Multi-modal Multi-domain Dataset for Root Cause Analysis Lecheng Zheng Zhengzhang Chen Dongjie Wang Chengyuan Deng Reon Matsuoka Haifeng Chen 16 3 0 08 Jun 2024
Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks Yucheng Wu Liyue Chen Yu Cheng Shuai Chen Jinyu Xu Leye Wang GNN 32 0 0 05 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 36 2 0 02 Jun 2024
Anomaly Detection in Graph Structured Data: A Survey Prabin B. Lamichhane William Eberle 41 3 0 10 May 2024