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weather-forecasting-on-sd
Weather Forecasting
Results over time
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Paper
Code
MSE (t+1)
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MSE (t+6)
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ModelName
ReleaseDate
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Climate modeling with neural advection–diffusion equation
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0.1430 ± 0.0280
0.6516 ± 0.0657
NADE
2023-01-31
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
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0.2010 ± 0.0188
1.0181 ± 0.1275
AGCRN
2020-07-06
Climate Modeling with Neural Diffusion Equations
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0.3561 ± 0.0055
0.7301 ± 0.0048
NDE
2021-11-11
Differentiable Physics-informed Graph Networks
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0.5149 ± 0.0831
0.6714 ± 0.1106
DPGN
2019-02-08
Neural Dynamics on Complex Networks
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0.5291 ± 0.0578
0.7862 ± 0.0475
RNN-GNN
2019-08-18
Neural Dynamics on Complex Networks
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0.5296 ± 0.0274
0.7542 ± 0.0730
NDCN
2019-08-18
Neural Dynamics on Complex Networks
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0.5705 ± 0.0057
0.7414 ± 0.0294
GRU-GNN
2019-08-18
Neural Dynamics on Complex Networks
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0.5754 ± 0.0180
0.7954 ± 0.0110
LSTM-GNN
2019-08-18
Graph networks as learnable physics engines for inference and control
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0.6543 ± 0.1195
0.9872 ± 0.2425
GN-skip
2018-06-04
Graph networks as learnable physics engines for inference and control
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0.7007 ± 0.0848
1.0422 ± 0.0673
GN-only
2018-06-04