zachysun / Taxi_Traffic_BenchmarkLinks
Taxi Traffic Speed/Flow Prediction Benchmark(based on Shanghai Taxi Dataset)
☆13Updated 8 months ago
Alternatives and similar repositories for Taxi_Traffic_Benchmark
Users that are interested in Taxi_Traffic_Benchmark are comparing it to the libraries listed below
Sorting:
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆36Updated 5 years ago
- ☆67Updated 3 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Updated last year
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- Display of data sets and core code in STCGCN☆28Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆115Updated 5 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆21Updated 4 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆22Updated 3 years ago
- [Neural Networks] RGDAN: A random graph diffusion attention network for traffic prediction☆40Updated 3 months ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆106Updated 8 months ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆73Updated 5 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆158Updated 5 years ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆76Updated 4 months ago
- ☆40Updated 2 years ago
- [Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting☆91Updated 3 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆189Updated 3 years ago
- ☆44Updated 3 years ago
- Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting☆84Updated 6 months ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆195Updated last year
- ☆27Updated 2 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆33Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆155Updated 8 months ago
- [TRC] PyTorch implementaion of Spatial-Temporal Sequence to Sequence model.☆16Updated 4 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆60Updated 3 years ago
- This is a PyTorch implementation of STGAGRTN in the Spatial-Temporal Graph Attention Gated Recurrent Transformer Network for Traffic Flow…☆20Updated last year
- Multi-sensor traffic flow forecasting.☆14Updated 3 years ago
- ☆28Updated last year
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆245Updated 4 years ago