masizhou / GCRNN_PyTorch
使用GCN和GRU组合模型，多站点气温预测
☆32Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for GCRNN_PyTorch
- Tutorial about Graph Convolutional Network(GCN)☆90Updated 3 years ago
- MVTS Classification with GCN-LSTM☆19Updated 2 years ago
- 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
- A PyTorch implementation of T-GCN☆58Updated last year
- A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction☆94Updated 3 years ago
- Traffic flow predict. Implementation of graph convolutional network with PyTorch☆106Updated 3 years ago
- Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…☆128Updated 4 years ago
- The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network☆122Updated 3 years ago
- used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN☆100Updated 4 years ago
- paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>☆160Updated 3 years ago
- ☆33Updated 3 years ago
- ☆40Updated 2 years ago
- [This repo will NOT be maintained until further notice. Sorry for the inconvencience.] Baselines for Traffic Flow Prediction. (HA, ARIMA,…☆18Updated 3 years ago
- Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit☆30Updated 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
- Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting☆66Updated 4 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆170Updated 4 years ago
- ☆55Updated 2 years ago
- ☆70Updated 2 years ago
- This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…☆190Updated 3 years ago
- [KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022☆52Updated last year
- 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
- ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour☆15Updated 2 years ago
- ResNet_LSTM_GCN☆13Updated last year
- Code for our CIKM'22 paper Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting.☆193Updated 2 months ago
- ☆72Updated 11 months ago
- ☆35Updated last year
- AAAI 2020. Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting☆49Updated last year
- This is the PyTorch implementation of TPA-LSTM☆58Updated 4 years ago
- The pytorch code of DGCN(TITS)☆52Updated 2 years ago