luokn / matgcn
Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting
☆18Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for matgcn
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆25Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- The pytorch implementation of ST-GRAT: A Novel Spatio-temporal Graph Attention Network for Accurately Forecasting Dynamically Changing Ro…☆41Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆106Updated 3 years ago
- This code is the implementation of this paper (Multistage attention network for multivariate time series prediction)☆20Updated 4 years ago
- 分别使用三种图卷积做一个简单的交通流量预测模型。☆35Updated 4 years ago
- A PyTorch implementation of T-GCN☆58Updated last year
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 4 years ago
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆94Updated 3 years ago
- ☆43Updated 5 years ago
- traffic-prediction using LSTM and GCN by pytorch☆53Updated 4 years ago
- ☆56Updated 5 months ago
- This is the PyTorch implementation of TPA-LSTM☆58Updated 4 years ago
- The code of AAAI2021 paper of HGCN for Traffic Forecasting☆88Updated 2 years ago
- Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis☆32Updated 5 years ago
- ☆35Updated last year
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆113Updated 3 years ago
- MVTS Classification with GCN-LSTM☆19Updated 2 years ago
- ☆81Updated last year
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆128Updated 4 years ago
- [ICDE'2023] When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks☆74Updated 7 months ago
- ☆64Updated 2 years ago
- Dynamic Attention And Trajectory Cognition Based Graph Convolution Network For Traffic Flow Forecasting☆11Updated 2 years ago
- A Deep Belief Network for predicting time series in Pytorch.☆18Updated 5 years ago
- ☆24Updated 2 years ago
- A novel spatio-temporal adaptive graph convolutional network model (STAGCN) based on deep learning☆20Updated 2 years ago
- ☆40Updated 2 years ago
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆15Updated 2 years ago
- ☆70Updated 2 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆9Updated 4 years ago