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WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction

International Joint Conference on Artificial Intelligence (IJCAI), 2023

9 October 2023

Liang Sun

Papers citing "WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction"

7 / 7 papers shown

MillGNN: Learning Multi-Scale Lead-Lag Dependencies for Multi-Variate Time Series Forecasting

04 Sep 2025

Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning

141

11 Aug 2025

Kolmogorov Arnold Neural Interpolator for Downscaling and Correcting Meteorological Fields from In-Situ Observations

266

24 Jan 2025

Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System ModelsNature Machine Intelligence (Nat. Mach. Intell.), 2022

358

03 Jan 2025

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2024

Ling Chen

136

31 Oct 2024

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning ApproachNeural Information Processing Systems (NeurIPS), 2024

Qian Chen

Ling Chen

201

30 Oct 2024

MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series Forecasting

Zongjiang Shang

Ling Chen

AI4TS

158

17 Jan 2024