gengdd / Awesome-Time-Series-Spatio-TemporalLinks
Awesome Time-Series and Spatio-Temporal Related
☆99Updated last year
Alternatives and similar repositories for Awesome-Time-Series-Spatio-Temporal
Users that are interested in Awesome-Time-Series-Spatio-Temporal are comparing it to the libraries listed below
Sorting:
- My personal PyTorch framework for multivariate time series forecasting.☆96Updated 6 months ago
- [AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"☆126Updated last year
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆69Updated last month
- [TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".☆85Updated 2 years ago
- [CIKM'23] Official code for our paper "Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting".☆190Updated last year
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆99Updated 5 months ago
- Spatio-Temporal Prediction Paper List☆230Updated 3 months ago
- Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 202…☆58Updated 2 years ago
- Spatial-Temporal Graph ODE Neural Network☆115Updated 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
- LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)☆221Updated last year
- PyTorch implementation of ESG☆86Updated 2 years ago
- [IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting☆225Updated 2 months ago
- ☆115Updated last year
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆69Updated 3 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆177Updated 3 years ago
- ☆86Updated last year
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆184Updated 8 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆223Updated last year
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆157Updated 11 months ago
- ☆45Updated 2 years ago
- Official implementation for ICML24 paper "Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks …☆114Updated 4 months ago
- [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…☆48Updated 2 years ago
- Implementation of Graph Muti-Attention Network with PyTorch☆164Updated last year
- PyTorch implementation of CaST, NeurIPS-23.☆35Updated 2 months ago
- When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)☆46Updated 2 years ago
- An offical implementation of STDN: "Spatiotemporal-aware Trend-Seasonality Decomposition Network for Traffic Flow Forecasting." (AAAI 202…☆22Updated last month
- ☆26Updated 11 months ago
- [KDD 2021] Official Code of the paper "ST-Norm: Spatial and Temporal Normalization for Multi-variate Time Series Forecasting"☆62Updated last year
- [KDD'24] Official code for our paper "Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting".☆60Updated 11 months ago