skzhangPKU / GTA
Multi-sensor traffic flow forecasting.
☆13Updated 2 years ago
Alternatives and similar repositories for GTA:
Users that are interested in GTA are comparing it to the libraries listed below
- ☆13Updated 11 months ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆42Updated last year
- Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection☆17Updated 2 years ago
- ☆49Updated 2 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆81Updated 10 months ago
- PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆15Updated 3 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆29Updated last year
- Code for paper "Spatio-Temporal Knowledge Transfer for Urban Crowd Flow Prediction via Deep Attentive Adaptation Networks"☆12Updated 3 years ago
- ☆46Updated 2 years ago
- ☆13Updated 3 years ago
- [CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation☆22Updated last year
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆15Updated last year
- ☆42Updated 2 years ago
- ☆38Updated 2 years ago
- ☆42Updated 2 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆67Updated 4 years ago
- [CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Tra…☆43Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- ☆36Updated 2 years ago
- ☆40Updated 2 years ago
- ☆12Updated 2 years ago
- ☆70Updated 2 years ago
- Official implementation for "Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equat…☆13Updated last month
- This is an implementation of a traffic speed predicition model.☆10Updated 2 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆32Updated last year
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆25Updated 4 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆27Updated 11 months ago
- The codes and data of paper "Curb-GAN: Conditional Urban Traffic Estimation through Spatio-Temporal Generative Adversarial Networks"☆32Updated 5 years ago
- Display of data sets and core code in STCGCN☆20Updated 2 years ago