kejintao / ST-ED-RMGCLinks
Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network"
☆15Updated 5 years ago
Alternatives and similar repositories for ST-ED-RMGC
Users that are interested in ST-ED-RMGC are comparing it to the libraries listed below
Sorting:
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆95Updated 4 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆36Updated 5 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆22Updated 4 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- AAAI 2021. GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting☆36Updated 2 years ago
- [ECMLPKDD21] Countrywide Origin-Destination Matrix Prediction and Its Application for COVID-19☆29Updated 2 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆224Updated 4 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆320Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆249Updated 4 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 3 years ago
- Source code of implementing spatial-temporal zero-inflated negative binomial network for trip demand prediction☆26Updated 3 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆248Updated 6 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 3 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 6 years ago
- ☆74Updated 3 years ago
- ☆78Updated 2 years ago
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated 2 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆157Updated 9 months ago
- ☆14Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆115Updated 5 years ago
- ☆50Updated 3 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆275Updated 3 years ago
- When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time☆39Updated 8 months ago
- ☆49Updated 6 years ago
- ☆67Updated 3 years ago
- Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.☆136Updated last year
- Attentive Traffic Flow Machines☆59Updated 5 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆77Updated 3 years ago
- code for "Physical-Virtual Collaboration Graph Network for Station-Level Metro Ridership Prediction"☆60Updated 3 years ago
- The pytorch code of DGCN(TITS)☆56Updated 3 years ago