Contrastive learning enhanced by graph neural networks for Universal Multivariate Time Series Representation

被引:0
|
作者
College of Artificial Intelligence, Southwest University, Chongqing [1 ]
400715, China
机构
来源
关键词
D O I
102429
中图分类号
学科分类号
摘要
Anomaly detection
引用
收藏
相关论文
共 50 条
  • [21] Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks
    Liu, Yijing
    Liu, Qinxian
    Zhang, Jian-Wei
    Feng, Haozhe
    Wang, Zhongwei
    Zhou, Zihan
    Chen, Wei
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35 (NEURIPS 2022), 2022,
  • [22] Graph neural networks for multivariate time series regression with application to seismic data
    Stefan Bloemheuvel
    Jurgen van den Hoogen
    Dario Jozinović
    Alberto Michelini
    Martin Atzmueller
    International Journal of Data Science and Analytics, 2023, 16 : 317 - 332
  • [23] Fast protein structure comparison through effective representation learning with contrastive graph neural networks
    Xia, Chunqiu
    Feng, Shi-Hao
    Xia, Ying
    Pan, Xiaoyong
    Shen, Hong-Bin
    PLOS COMPUTATIONAL BIOLOGY, 2022, 18 (03)
  • [24] Contrastive Representation based Active Learning for Time Series
    Pan, Lujia
    Kalander, Marcus
    Zhang, Yuchao
    Wang, Pinghui
    2022 IEEE INTL CONF ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING, INTL CONF ON PERVASIVE INTELLIGENCE AND COMPUTING, INTL CONF ON CLOUD AND BIG DATA COMPUTING, INTL CONF ON CYBER SCIENCE AND TECHNOLOGY CONGRESS (DASC/PICOM/CBDCOM/CYBERSCITECH), 2022, : 392 - 397
  • [25] Time Series Representation Learning with Contrastive Triplet Selection
    Chang, Yuan-Chi
    Subramanian, Dharmashankar
    Pavuluri, Raju
    Dinger, Timothy
    PROCEEDINGS OF THE 5TH JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA, CODS COMAD 2022, 2022, : 46 - 53
  • [26] Dynamic graph learning-neural network for multivariate time series modeling
    School of Computer Engineering and Science, Shanghai University, China
    不详
    不详
    arXiv, 1600,
  • [27] Discrete Representation Learning for Multivariate Time Series
    Ajirak, Marzieh
    Elbau, Immanuel
    Solomonov, Nili
    Grosenick, Logan
    32ND EUROPEAN SIGNAL PROCESSING CONFERENCE, EUSIPCO 2024, 2024, : 1132 - 1136
  • [28] Graph Neural Network-Based Representation Learning for Medical Time Series
    Zheng, Zhuzi
    Guo, Changchun
    Chen, Jianyong
    Li, Jianqiang
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING, ICANN 2023, PT VI, 2023, 14259 : 194 - 205
  • [29] Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
    Liu N.
    Wang X.
    Han H.
    Shi C.
    IEEE Transactions on Knowledge and Data Engineering, 2023, 35 (10) : 10884 - 10896
  • [30] Molecular contrastive learning of representations via graph neural networks
    Yuyang Wang
    Jianren Wang
    Zhonglin Cao
    Amir Barati Farimani
    Nature Machine Intelligence, 2022, 4 : 279 - 287