Learning Visibility Attention Graph Representation for Time Series Forecasting

Author:

Mao Shengzhong1ORCID,Zeng Xiao-Jun1ORCID

Affiliation:

1. The University of Manchester, Manchester, United Kingdom

Publisher

ACM

Reference23 articles.

1. George EP Box , Gwilym M Jenkins , Gregory C Reinsel , and Greta M Ljung . 2015. Time series analysis: forecasting and control . John Wiley & Sons . George EP Box, Gwilym M Jenkins, Gregory C Reinsel, and Greta M Ljung. 2015. Time series analysis: forecasting and control. John Wiley & Sons.

2. Multi-Variate Time Series Forecasting on Variable Subsets

3. Yuzhou Chen , Ignacio Segovia , and Yulia R Gel . 2021 . Z-GCNETs: time zigzags at graph convolutional networks for time series forecasting . In International Conference on Machine Learning. PMLR, 1684--1694 . Yuzhou Chen, Ignacio Segovia, and Yulia R Gel. 2021. Z-GCNETs: time zigzags at graph convolutional networks for time series forecasting. In International Conference on Machine Learning. PMLR, 1684--1694.

4. Yuzhou Chen , Ignacio Segovia-Dominguez , Baris Coskunuzer , and Yulia Gel . 2022 . TAMP-S2GCNets: coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting . In International Conference on Learning Representations. Yuzhou Chen, Ignacio Segovia-Dominguez, Baris Coskunuzer, and Yulia Gel. 2022. TAMP-S2GCNets: coupling time-aware multipersistence knowledge representation with spatio-supra graph convolutional networks for time-series forecasting. In International Conference on Learning Representations.

5. Jacopo Iacovacci and Lucas Lacasa . 2019. Visibility graphs for image processing . IEEE transactions on pattern analysis and machine intelligence, Vol. 42 , 4 ( 2019 ), 974--987. Jacopo Iacovacci and Lucas Lacasa. 2019. Visibility graphs for image processing. IEEE transactions on pattern analysis and machine intelligence, Vol. 42, 4 (2019), 974--987.

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