HduDBSI / DSTGCNLinks
Dynamic Attention And Trajectory Cognition Based Graph Convolution Network For Traffic Flow Forecasting
☆15Updated 3 years ago
Alternatives and similar repositories for DSTGCN
Users that are interested in DSTGCN are comparing it to the libraries listed below
Sorting:
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆26Updated 4 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆73Updated 5 years ago
- Traffic Flow Prediction with Vehicle Trajectories☆74Updated 4 years ago
- Pytorch implementation of various traffic prediction modules(FC-LSTM, GRU, GCN, Diffusion Conv, Temporal Attention, etc.)☆11Updated last year
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆17Updated 3 years ago
- Multi-sensor traffic flow forecasting.☆14Updated 3 years ago
- CNN-Bidirectional LSTM network to forecast long term traffic flow in Madrid.☆27Updated 2 years ago
- Display of data sets and core code in STCGCN☆28Updated 3 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☆23Updated 3 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆157Updated 9 months ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆36Updated 5 years ago
- The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.☆13Updated 2 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆116Updated 5 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆159Updated 5 years ago
- Multistep Traffic Forecasting by Dynamic Graph Convolution: Interpretations of Real-Time Spatial Correlations☆16Updated last year
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆110Updated 4 years ago
- codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction☆77Updated 3 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆42Updated 4 years ago
- Using to predict the highway traffic speed☆35Updated 9 months ago
- ☆74Updated 3 years ago
- ☆49Updated 6 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆206Updated 5 years ago
- traffic-prediction using LSTM and GCN by pytorch☆61Updated 5 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆100Updated 3 years ago
- AAAIA2020-Accident Forecasting Experiments Setups☆41Updated 5 years ago
- Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)☆224Updated 4 years ago
- Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction☆48Updated 2 years ago
- PyTorch implementation of STGCN☆77Updated 6 years ago
- The data of paper "Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction".☆33Updated last year