Graph-Machine-Learning-Group / sgpLinks
Official repository for the paper "Scalable Spatiotemporal Graph Neural Networks" (AAAI 2023)
☆49Updated last year
Alternatives and similar repositories for sgp
Users that are interested in sgp are comparing it to the libraries listed below
Sorting:
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆84Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆114Updated 3 years ago
- ☆19Updated 2 years ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆59Updated 2 years ago
- ☆40Updated 3 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆169Updated 3 years ago
- Official repository for the paper "Taming Local Effects in Graph-based Spatiotemporal Forecasting" (NeurIPS 2023)☆22Updated 4 months ago
- ☆45Updated 2 years ago
- ☆86Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆60Updated 11 months ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆157Updated 10 months ago
- The official implementation of SDGL☆33Updated last year
- ☆48Updated 3 years ago
- ☆44Updated 3 years ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆125Updated last year
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆87Updated 2 months ago
- [IJCNN 2021] Unified Spatio-Temporal modeling for traffic forecasting using Graph Convolutional Network☆36Updated 10 months ago
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆14Updated 5 months ago
- ☆17Updated last year
- ☆30Updated last year
- This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"☆37Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆175Updated 3 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆68Updated 2 months ago
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆19Updated 3 months ago
- ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks☆30Updated last year
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆162Updated last year
- HSTGODE code☆9Updated last year
- Official repository for the paper "Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting" (ICML 2024)☆19Updated last year
- ☆26Updated 2 years ago