KL4805 / STResNet-PyTorch
A Pytorch Implementation of STResNet, AAAI 2017
☆22Updated 4 years ago
Alternatives and similar repositories for STResNet-PyTorch:
Users that are interested in STResNet-PyTorch are comparing it to the libraries listed below
- Implementation of the paper - Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction☆40Updated 2 years ago
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆25Updated 2 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆122Updated 9 months ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆219Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- A collection of research on spatio-temporal data mining☆150Updated 3 months ago
- Reconstruction of DeepST☆103Updated 5 years ago
- [CIKM 2021 Resource Paper] DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction (Grid Part)☆54Updated 2 years ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆90Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 2 years ago
- Deep Learning for Spatio-Temporal Data☆67Updated 8 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆37Updated last year
- Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution, TKDD 2023☆295Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆140Updated 4 years ago
- ☆64Updated 3 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆139Updated 4 months ago
- DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.☆161Updated 2 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆166Updated 4 years ago
- ☆77Updated last year
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆41Updated 4 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆230Updated last year
- [AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.☆236Updated last year
- Implementation code for the model Diffusion-based Origin-destination Travel Time Estimation (DOT), proposed in the SIGMOD 2024 paper "Ori…☆17Updated 6 months ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆228Updated 5 years ago
- Organize some grid-based traffic flow datasets, mainly New York City bicycle and taxi data☆52Updated 3 years ago
- ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction☆175Updated 4 months ago
- Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.☆68Updated 9 months ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆215Updated 3 years ago
- [TKDE 2021 Paper] DeepCrowd: A Deep Model for Large-Scale Citywide Crowd Density and Flow Prediction☆16Updated last year
- An Open Source Spatio-Temporal Prediction Package☆202Updated 6 months ago