The source codes for HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
☆25Dec 31, 2020Updated 5 years ago
Alternatives and similar repositories for HighAir
Users that are interested in HighAir are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- add codes☆21Aug 22, 2021Updated 5 years ago
- PyTorch implementation of probabilistic deep forecast applied to air quality.☆27Dec 7, 2021Updated 4 years ago
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆227Oct 14, 2026Updated 2 weeks ago
- Graph Neural Network☆76Apr 16, 2024Updated 2 years ago
- PyTorch implementation of AirFormer, AAAI-23☆165Dec 29, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆12Jul 17, 2020Updated 6 years ago
- Predicting for Customers, whether they will buy car insurance or not.☆11Jan 29, 2021Updated 5 years ago
- Pytorch implementation of Physics Guided Differential Equation Network for Air Quality Prediction (AirPhyNet).☆42Feb 24, 2024Updated 2 years ago
- ☆24Oct 16, 2025Updated last year
- Repository for the paper "Deciphering Environmental Air Pollution with Large Scale City Data", IJCAI 2022☆10Sep 27, 2022Updated 4 years ago
- NeurIPS文章+代码(最新2021更新)☆22Nov 24, 2021Updated 4 years ago
- Implement code of paper "DeepPhysiNet: Bridging Deep Learning and Atmospheric Physics for Accurate and Continuous Weather Modeling"☆45May 2, 2024Updated 2 years ago
- NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21☆24Apr 14, 2022Updated 4 years ago
- 基于塔顶摄像头的能见度反算项目☆16Feb 22, 2024Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆10Feb 9, 2020Updated 6 years ago
- ☆50May 24, 2022Updated 4 years ago
- MSTGAN is an innovative method designed for multi-station urban air quality prediction, which fully considers the individual, global, and…☆23Jul 13, 2024Updated 2 years ago
- ☆12Jul 6, 2023Updated 3 years ago
- The PyTorch implementation of the paper "AutoCTS: Automated Correlated Time Series Forecasting".☆19Jan 21, 2022Updated 4 years ago
- ICDE'24 "Time-aware Graph Structure Learning for Spatiao-temporal Forecasting"☆16Jan 26, 2026Updated 9 months ago
- ☆10Sep 15, 2022Updated 4 years ago
- Repository of KDD Cup, 2018.☆54Jul 4, 2018Updated 8 years ago
- Learn and concatenate outputs of PDE models using deep learning☆12Jan 17, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementation of the paper: "Aurora: A Foundation Model of the Atmosphere" in PyTorch☆24Oct 26, 2026Updated last week
- CS230 Deep Learning project forecasting PM2.5 pollution using weather data☆11Nov 24, 2020Updated 5 years ago
- An end-to-end infrared and visible light enhancement fusion algorithm based on SwinTransformer☆13Feb 14, 2025Updated last year
- [ICLR 2025] Continuous Ensemble Weather Forecasting with Diffusion models☆41Jun 25, 2025Updated last year
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Feb 19, 2020Updated 6 years ago
- 使用GCN和GRU组合模型,多站点气温预测☆41Oct 14, 2021Updated 5 years ago
- ☆54Aug 5, 2025Updated last year
- PyTorch implementation of "ClimODE: Climate Forecasting With Physics-informed Neural ODEs"☆19Jun 2, 2024Updated 2 years ago
- The source code of the SOTA Dynamic Graph Reformer model for weather station prediction.☆14Mar 25, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- code for HiSTGNN: Hierarchical Graph Neural Networks for Weather Forecasting, Information Sciences☆21Jan 26, 2026Updated 9 months ago
- ☆13Oct 6, 2026Updated 3 weeks ago
- ☆13Sep 16, 2024Updated 2 years ago
- This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022☆133Mar 6, 2022Updated 4 years ago
- This code is a official PyTorch implementation of our paper "Low-rank Adaptation for Spatio-Temporal Forecasting".☆12Sep 30, 2025Updated last year
- 一个通用的确定性预报准确率测评工具包☆33Mar 1, 2026Updated 8 months ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆17Mar 31, 2025Updated last year