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Weather forecasting is one of the cornerstones of meteorological work.
The status of the tropical rainfall measuring mission (trmm) after two years in orbit
Christian Kummerow, J Simpson, O Thiele, W Barnes, ATC Chang, E Stocker, RF Adler, A Hou, R Kakar, F Wentz, et al · 2000
Earlier work this paper cites.
The global land data assimilation system
Matthew Rodell, PR Houser, UEA Jambor, J Gottschalck, Kieran Mitchell, C-J Meng, Kristi Arsenault, B Cosgrove, J Radakovich, M Bosilovich, et al · 2004
Earlier work this paper cites.
Some current problems in numerical weather prediction
MA Tolstykh and AV Frolov · 2005
Earlier work this paper cites.
Ridge regression
Gary C McDonald · 2009
Earlier work this paper cites.
Wavelets on graphs via spectral graph theory
David K Hammond, Pierre Vandergheynst, and Rémi Gribonval · 2011
Earlier work this paper cites.
Linear regression
Xiaogang Su, Xin Yan, and Chih-Ling Tsai · 2012
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Electricity demand forecasting over italy: Potential benefits using numerical weather prediction models
Matteo De Felice, Andrea Alessandri, and Paolo M Ruti · 2013
Earlier work this paper cites.
The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
David I Shuman, Sunil K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst · 2013
Earlier work this paper cites.
Kernel ridge regression
Vladimir Vovk · 2013
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Massively parallel solvers for elliptic partial differential equations in numerical weather and climate prediction
Eike H Müller and Robert Scheichl · 2014
Earlier work this paper cites.
The canadian land data assimilation system (caldas): Description and synthetic evaluation study
Marco L Carrera, Stéphane Bélair, and Bernard Bilodeau · 2015
Earlier work this paper cites.
Nasa global precipitation measurement (gpm) integrated multi-satellite retrievals for gpm (imerg)
George J Huffman, David T Bolvin, Dan Braithwaite, Kuolin Hsu, and Robert Joyce · 2015
Earlier work this paper cites.
Mswep: 3-hourly 0.25 global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data
Hylke E Beck, Albert IJM Van Dijk, Vincenzo Levizzani, Jaap Schellekens, Diego G Miralles, Brecht Martens, and Ad De Roo · 2017
Earlier work this paper cites.
A vision for the development of benchmarks to bridge geoscience and data science
Imme Ebert-Uphoff, David R Thompson, Ibrahim Demir, Yulia R Gel, Anuj Karpatne, Mariana Guereque, Vipin Kumar, Enrique Cabral-Cano, and Padhraic Smyth · 2017
Earlier work this paper cites.
Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu · 2017
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Extremeweather: A large-scale climate dataset for semi-supervised detection, localization, and understanding of extreme weather events
Evan Racah, Christopher Beckham, Tegan Maharaj, Samira Ebrahimi Kahou, Mr Prabhat, and Chris Pal · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Spatio-temporal graph convolutional networks: A deep learning framework for traffic forecasting
Bing Yu, Haoteng Yin, and Zhanxing Zhu · 2017
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Structured sequence modeling with graph convolutional recurrent networks
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, and Xavier Bresson · 2018
Weatherbench: a benchmark data set for data-driven weather forecasting
Stephan Rasp, Peter D Dueben, Sebastian Scher, Jonathan A Weyn, Soukayna Mouatadid, and Nils Thuerey · 2020
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Metnet: A neural weather model for precipitation forecasting
Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, and Nal Kalchbrenner · 2020
Later among the works it cites.
Pm2. 5-gnn: A domain knowledge enhanced graph neural network for pm2. 5 forecasting
Shuo Wang, Yanran Li, Jiang Zhang, Qingye Meng, Lingwei Meng, and Fei Gao · 2020
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Crowd flow forecasting with multi-graph neural networks
Xu Zhang, Ruixu Cao, Zuyu Zhang, and Ying Xia · 2020
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Gman: A graph multi-attention network for traffic prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi · 2020
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Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting
Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, and Yan Liu · 2019
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Attention based spatial-temporal graph convolutional networks for traffic flow forecasting
Shengnan Guo, Youfang Lin, Ning Feng, Chao Song, and Huaiyu Wan · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Two-stream adaptive graph convolutional networks for skeleton-based action recognition
Lei Shi, Yifan Zhang, Jian Cheng, and Hanqing Lu · 2019
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T-gcn: A temporal graph convolutional network for traffic prediction
Ling Zhao, Yujiao Song, Chao Zhang, Yu Liu, Pu Wang, Tao Lin, Min Deng, and Haifeng Li · 2019
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Adaptive graph convolutional recurrent network for traffic forecasting
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, and Can Wang · 2020
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Deepsphere: a graph-based spherical cnn
Michaël Defferrard, Martino Milani, Frédérick Gusset, and Nathanaël Perraudin · 2020
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A3t-gcn: Attention temporal graph convolutional network for traffic forecasting
Jiandong Bai, Jiawei Zhu, Yujiao Song, Ling Zhao, Zhixiang Hou, Ronghua Du, and Haifeng Li · 2021
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Pyraformer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X Liu, and Schahram Dustdar · 2021
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Cloudcast: A satellite-based dataset and baseline for forecasting clouds
Andreas Holm Nielsen, Alexandros Iosifidis, and Henrik Karstoft · 2021
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Transfer graph neural networks for pandemic forecasting
George Panagopoulos, Giannis Nikolentzos, and Michalis Vazirgiannis · 2021
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Pytorch geometric temporal: Spatiotemporal signal processing with neural machine learning models
Benedek Rozemberczki, Paul Scherer, Yixuan He, George Panagopoulos, Alexander Riedel, Maria Astefanoaei, Oliver Kiss, Ferenc Beres, Guzmán López, Nicolas Collignon, et al · 2021
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Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
Haixu Wu, Jiehui Xu, Jianmin Wang, and Mingsheng Long · 2021
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Informer: Beyond efficient transformer for long sequence time-series forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, and Wancai Zhang · 2021
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Conditional local convolution for spatio-temporal meteorological forecasting
Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, and Stan Z Li · 2022
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Fedformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
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