mb-Ma / HiSTGNN
code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences
☆14Updated last year
Alternatives and similar repositories for HiSTGNN:
Users that are interested in HiSTGNN are comparing it to the libraries listed below
- ☆9Updated 5 months ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆16Updated 7 months ago
- ☆37Updated last year
- GD-CAF: Graph Dual-stream Convolutional Attention Fusion for Precipitation Nowcasting☆14Updated 2 months ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆13Updated 7 months ago
- Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach (TITS)☆17Updated 3 months ago
- Official repo for "Solar Irradiance Anticipative Transformer" paper to be published in CVPR workshop Earth Vision 2023☆14Updated last year
- ☆10Updated 7 months ago
- add codes☆17Updated 3 years ago
- ☆10Updated 3 years ago
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Updated 3 years ago
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs☆84Updated 6 months ago
- ☆23Updated last year
- ☆14Updated 2 years ago
- The code for Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values.☆22Updated 6 months ago
- Unsupervised learning of Moving MNIST dataset. This repository contains implemention of ConvLSTM model and PredRNN++ model with Pytorch.☆12Updated 2 years ago
- ICLR'2024 (Spotlight)☆17Updated 8 months ago
- This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal C…☆81Updated 5 months ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆18Updated last year
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆17Updated 9 months ago
- INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging☆15Updated last year
- a pytorch version implement of paper "Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning"☆13Updated 2 years ago
- Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region☆19Updated 9 months ago
- Integrating Large Weather Models with Data Assimilation☆13Updated 9 months ago
- Code of “Dynamic Graph Convolutional Network with Attention Fusion for Traffic Flow Prediction”.☆14Updated 10 months ago
- This includes the code and data used in the paper "Investigating transformer-based models for downscaling near-surface temperature and wi…☆19Updated last year