Friger / GAGNNLinks
add codes
☆19Updated 4 years ago
Alternatives and similar repositories for GAGNN
Users that are interested in GAGNN are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)☆50Updated 2 years ago
- ☆28Updated 3 months ago
- ☆32Updated last year
- [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network☆36Updated last year
- KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation☆37Updated 2 years ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Updated 9 months ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Updated 5 years ago
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆70Updated last year
- ☆14Updated 2 years ago
- [ICLR 2024 Spotlight]☆24Updated last year
- ☆15Updated 2 years ago
- This is an implementation of a traffic speed predicition model.☆10Updated 3 years ago
- Investigating the benefit of relating river gauging stations via graph neural networks for flood forecasting☆14Updated 9 months ago
- ☆42Updated 4 years ago
- ☆46Updated 3 years ago
- ☆25Updated 4 years ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆32Updated last year
- ☆49Updated 3 years ago
- Spatial-Temporal Graph ODE Neural Network☆123Updated 3 years ago
- AGC-Net (Adaptive Graph Convolution Networks) is an advanced model designed to predict traffic flow. Dataset: METR-LA, PEMS-BAY☆12Updated 2 years ago
- HSTGODE code☆10Updated 2 years ago
- Uncertainty Quantification for Deep Spatiotemporal Forecasting☆24Updated last year
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆88Updated 3 years ago
- Code for our paper "Temporal Graph Neural Networks for Irregular Data"☆21Updated 2 months ago
- Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach☆33Updated last month
- Neural Manifold Operators (KDD 2024)☆24Updated last year
- ☆19Updated 3 years ago
- WWW23-Learning Social Meta-knowledge for Nowcasting Human Mobility in Disaster☆17Updated 2 years ago
- The project for KDD24 paper 'Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Networks…☆28Updated last year
- ☆44Updated 3 years ago