ResGraphNet: GraphSAGE with embedded residual module for prediction of global monthly mean temperature

[1]  Zhiguo Wang,et al.  MagInfoNet: Magnitude Estimation Using Seismic Information Augmentation and Graph Transformer , 2022, Earth and Space Science.

[2]  Yanjun Li,et al.  The Temperature Prediction of Hydro-generating Units based on Temporal Convolutional Network and Recurrent Neural Network , 2021, 2021 40th Chinese Control Conference (CCC).

[3]  P. Larraondo,et al.  Data-driven global weather predictions at high resolutions , 2021, Int. J. High Perform. Comput. Appl..

[4]  J. Kennedy,et al.  An Updated Assessment of Near‐Surface Temperature Change From 1850: The HadCRUT5 Data Set , 2020, Journal of Geophysical Research: Atmospheres.

[5]  J. Thepaut,et al.  The ERA5 global reanalysis , 2020, Quarterly Journal of the Royal Meteorological Society.

[6]  E. Ott,et al.  A Machine Learning‐Based Global Atmospheric Forecast Model , 2020, Geophysical Research Letters.

[7]  Jinghuai Gao,et al.  How to transform the seismic time series to a graph? , 2019, SEG Technical Program Expanded Abstracts 2019.

[8]  Adam A. Scaife,et al.  Towards operational predictions of the near-term climate , 2019, Nature Climate Change.

[9]  Martin Grohe,et al.  Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks , 2018, AAAI.

[10]  Jaideep Pathak,et al.  Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach. , 2018, Physical review letters.

[11]  Jure Leskovec,et al.  Inductive Representation Learning on Large Graphs , 2017, NIPS.

[12]  Peter Bauer,et al.  The quiet revolution of numerical weather prediction , 2015, Nature.

[13]  Jennifer K. Costanza,et al.  The Southern Megalopolis: Using the Past to Predict the Future of Urban Sprawl in the Southeast U.S , 2014, PloS one.

[14]  S Nicole Hastings,et al.  Using the Past to Predict the Future: Latent Class Analysis of Patterns of Health Service Use of Older Adults in the Emergency Department , 2014, Journal of the American Geriatrics Society.

[15]  Vincenzo Piuri,et al.  Hierarchical Approach for Multiscale Support Vector Regression , 2012, IEEE Transactions on Neural Networks and Learning Systems.

[16]  Nick Rayner,et al.  Reassessing biases and other uncertainties in sea surface temperature observations measured in situ since 1850: 1. Measurement and sampling uncertainties , 2011 .

[17]  Yoshua Bengio,et al.  Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.

[18]  J. C. Nuño,et al.  The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion , 2009, 0901.0888.

[19]  Thomas M. Smith,et al.  Improvements to NOAA’s Historical Merged Land–Ocean Surface Temperature Analysis (1880–2006) , 2008 .

[20]  Lucas Lacasa,et al.  From time series to complex networks: The visibility graph , 2008, Proceedings of the National Academy of Sciences.

[21]  Stephen Cusack,et al.  Improved Surface Temperature Prediction for the Coming Decade from a Global Climate Model , 2007, Science.

[22]  Kenneth J. Arrow,et al.  Global Climate Change: A Challenge to Policy , 2007 .

[23]  Angshuman Guin,et al.  Travel Time Prediction Using a Seasonal Autoregressive Integrated Moving Average Time Series Model , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[24]  Louis Narens,et al.  Using the past to predict the future , 2005, Memory & cognition.

[25]  Bernhard Schölkopf,et al.  A tutorial on support vector regression , 2004, Stat. Comput..

[26]  J. Contreras,et al.  ARIMA Models to Predict Next-Day Electricity Prices , 2002, IEEE Power Engineering Review.

[27]  P. Stott,et al.  Origins and estimates of uncertainty in predictions of twenty-first century temperature rise , 2002, Nature.

[28]  L. Breiman Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.

[29]  John F. B. Mitchell,et al.  The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments , 2000 .

[30]  S. Hochreiter,et al.  Long Short-Term Memory , 1997, Neural Computation.

[31]  J J Hopfield,et al.  Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[32]  Philip S. Yu,et al.  A Comprehensive Survey on Graph Neural Networks , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[33]  J. Curry,et al.  Berkeley Earth Temperature Averaging Process , 2013 .

[34]  Ah Chung Tsoi,et al.  The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.