ant-agafonov / stgcn-lstmLinks
Spatial-Temporal Graph Convolutional Neural Network with LSTM layers
☆17Updated 5 years ago
Alternatives and similar repositories for stgcn-lstm
Users that are interested in stgcn-lstm are comparing it to the libraries listed below
Sorting:
- This is the repository for the collection of Deep Learning for Traffic Prediction Problems.☆233Updated 2 years ago
- Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using hist…☆302Updated last year
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆114Updated 4 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆156Updated 4 years ago
- Summary of open source code for deep learning models in the field of traffic prediction☆272Updated 2 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆76Updated 3 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆225Updated 4 years ago
- 交通流量预测项目在研，以下是本人学习过程中积累整理的资源，会持续更新☆235Updated 5 years ago
- [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network☆40Updated last year
- LCTFP: A freeway traffic flow prediction model based on CNN and LSTM☆101Updated 6 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆145Updated 7 months ago
- [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)☆94Updated 4 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆50Updated 2 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019☆242Updated 6 years ago
- [TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution☆314Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆239Updated 4 years ago
- Machine learning for transportation data imputation and prediction.☆40Updated 6 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆425Updated 5 years ago
- A PyTorch implementation of T-GCN☆64Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆72Updated 5 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆35Updated 5 years ago
- GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAA…☆503Updated 3 years ago
- Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.☆144Updated 10 months ago
- ☆49Updated 5 years ago
- Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version☆18Updated 2 years ago
- A time series task- predicting traffic flow using LSTM model☆22Updated 5 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆168Updated 4 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆21Updated 3 years ago