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Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting

Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting

4 February 2023
Katrina Chen
M. Feng
T. Wirjanto
    AI4TS
ArXivPDFHTML

Papers citing "Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting"

10 / 10 papers shown
Title
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng
Bryan Hooi
AI4TS
61
876
0
13 Jun 2021
Multivariate Time-series Anomaly Detection via Graph Attention Network
Multivariate Time-series Anomaly Detection via Graph Attention Network
Hang Zhao
Yujing Wang
Juanyong Duan
Congrui Huang
Defu Cao
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
44
433
0
04 Sep 2020
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with
  Generative Adversarial Networks
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks
Dan Li
Dacheng Chen
Lei Shi
Baihong Jin
Jonathan Goh
See-Kiong Ng
75
773
0
15 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
1.1K
5,515
0
20 Dec 2018
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis
  in Multivariate Time Series Data
A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data
Chuxu Zhang
Dongjin Song
Yuncong Chen
Xinyang Feng
C. Lumezanu
Wei Cheng
Jingchao Ni
Bo Zong
Haifeng Chen
Nitesh Chawla
AI4TS
157
699
0
20 Nov 2018
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an
  LSTM-based Variational Autoencoder
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder
Daehyung Park
Yuuna Hoshi
Charles C. Kemp
DRL
73
747
0
02 Nov 2017
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
401
7,391
0
12 Sep 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
557
7,989
0
13 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,289
0
11 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
581
12,704
0
11 Dec 2014
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