masizhou / GCRNN_PyTorch
使用GCN和GRU组合模型,多站点气温预测
☆35Updated 3 years ago
Alternatives and similar repositories for GCRNN_PyTorch:
Users that are interested in GCRNN_PyTorch are comparing it to the libraries listed below
- 比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。☆123Updated 3 years ago
- ☆33Updated 3 years ago
- A PyTorch implementation of T-GCN☆61Updated last year
- Tutorial about Graph Convolutional Network(GCN)☆95Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆107Updated 4 years ago
- MVTS Classification with GCN-LSTM☆20Updated 2 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 Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆100Updated 3 years ago
- ResNet_LSTM_GCN☆13Updated 2 years ago
- ☆42Updated 2 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆135Updated 4 years ago
- ☆76Updated last year
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆126Updated 3 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆161Updated 3 years ago
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆67Updated 4 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆201Updated 3 years ago
- ☆70Updated 2 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆29Updated 4 years ago
- Traffic Forecasting using Graph Convolution + LSTM model is a ML model developed during the learning process of GCN. The primary soorce o…☆25Updated 4 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆19Updated 3 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆177Updated 4 years ago
- Spatiotemporal graph convolutional network for wind speed prediction.☆36Updated 3 years ago
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated 2 years ago
- ☆47Updated 5 years ago
- Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting☆18Updated 2 years ago
- In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.☆16Updated 2 years ago
- 利用已有的地铁流量历史数据建立模型,实现数据间存在的关联,为该城市未来一天的地铁流量进行一个较为准确的预测☆25Updated 5 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆104Updated 5 years ago
- traffic-prediction using LSTM and GCN by pytorch☆55Updated 4 years ago
- ☆62Updated 3 years ago