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Multivariate time series (MTS) forecasting is an essential problem in many fields.
Investigating causal relations by econometric models and cross-spectral methods
Clive WJ Granger · 1969
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Finding structure in time
Jeffrey L Elman · 1990
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Time series analysis
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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New introduction to multiple time series analysis
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Finding the direction of disturbance propagation in a chemical process using transfer entropy
Margret Bauer, John W Cox, Michelle H Caveness, James J Downs, and Nina F Thornhill · 2006
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Inferring gene regulatory networks from microarray time series data using transfer entropy
Thai Quang Tung, Taewoo Ryu, Kwang H Lee, and Doheon Lee · 2007
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini · 2008
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Granger causality
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Using transfer entropy to measure information flows between financial markets
Thomas Dimpfl and Franziska Julia Peter · 2013
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Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Time series analysis: forecasting and control
George EP Box, Gwilym M Jenkins, Gregory C Reinsel, and Greta M Ljung · 2015
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Transfer entropy
Terry Bossomaier, Lionel Barnett, Michael Harré, and Joseph T Lizier · 2016
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Semi-supervised classification with graph convolutional networks
Thomas N. Kipf and Max Welling · 2016
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Modeling long- and short-term temporal patterns with deep neural networks
Guokun Lai, Wei-Cheng Chang, Yiming Yang, and Hanxiao Liu · 2017
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Fastgcn: fast learning with graph convolutional networks via importance sampling
Jie Chen, Tengfei Ma, and Cao Xiao · 2018
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How powerful are graph neural networks?
Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka · 2018
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Heterogeneous attributed network embedding with graph convolutional networks
Yueyang Wang, Ziheng Duan, Binbing Liao, Fei Wu, and Yueting Zhuang · 2019
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Weisfeiler and leman go neural: Higher-order graph neural networks
Christopher Morris, Martin Ritzert, Matthias Fey, William L Hamilton, Jan Eric Lenssen, Gaurav Rattan, and Martin Grohe · 2019
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Multivariate time series classification with hierarchical variational graph pooling
Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, et al · 2020
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