Alternatives and similar repositories for GCN-LSTM:

Users that are interested in GCN-LSTM are comparing it to the libraries listed below

• troyyxk / GcnLstm
  ☆8Updated 4 years ago
• FuadAhmad / GCN-LSTM
  MVTS Classification with GCN-LSTM
  ☆22Updated 3 years ago
• LMissher / STGNN
  The pytorch implementation of Traffic Flow Prediction via Spatial Temporal Graph Neural Network
  ☆130Updated 2 weeks ago
• martinwhl / T-GCN-PyTorch
  A PyTorch implementation of T-GCN
  ☆62Updated last year
• LeronQ / GCN_predict-Pytorch
  Traffic flow predict. Implementation of graph convolutional network with PyTorch
  ☆109Updated 4 years ago
• LiuZH-19 / Ada-STNet
  ☆43Updated 2 years ago
• luanshiyinyang / GNN
  Tutorial about Graph Convolutional Network(GCN)
  ☆98Updated 4 years ago
• guoshnBJTU / ASTGNN
  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/93460…
  ☆212Updated 3 years ago
• liangzhehan / DMSTGCN
  ☆72Updated 2 years ago
• vighnesh-21 / Traffic-Forecasting-using-Graph-Convolution-LSTM-model
  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
• guokan987 / DGCN
  The pytorch code of DGCN(TITS)
  ☆53Updated 2 years ago
• masizhou / GCRNN_PyTorch
  使用GCN和GRU组合模型，多站点气温预测
  ☆37Updated 3 years ago
• goaheand / AdapGL-pytorch
  ☆64Updated 3 years ago
• 815382636 / GCN-tffc
  比较 TCN、GRU、GCN、TGCN、 TCN+GCN 在 交通流量预测方面的准确率效果。
  ☆129Updated 3 years ago
• RobinLu1209 / STAG-GCN
  Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
  ☆69Updated 4 years ago
• SmallNana / STSGCN_Pytorch
  ☆76Updated last year
• MengzhangLI / STFGNN
  Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)
  ☆219Updated 4 years ago
• wdzhong / ASTGCN-PyTorch
  ☆48Updated 5 years ago
• LeronQ / STGCN-Pytorch
  Paper:Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting . Implementation of spatio-temporal…
  ☆140Updated 4 years ago
• SYLan2019 / DSTAGNN
  DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting, which is accepted at ICML2022.
  ☆157Updated 2 years ago
• RingBDStack / GCNN-In-Traffic
  ☆13Updated 6 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆30Updated 4 years ago
• suprobe / AT-Conv-LSTM
  A Hybrid Deep Learning Model with Attention based ConvLSTM Networks for Short-Term Traffic Flow Prediction
  ☆104Updated 3 years ago
• Zhikaiiii / traffic-prediction
  traffic-prediction using LSTM and GCN by pytorch
  ☆59Updated 4 years ago
• wanhuaiyu / ASTGCN
  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019
  ☆225Updated 5 years ago
• underdoc-wang / ST-MGCN
  [AAAI'19] Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting (Pytorch Replication)
  ☆90Updated 3 years ago
• wubin5 / STTN
  paper : <Spatial-Temporal Transformer Networks for Traffic Flow Forecasting>
  ☆164Updated 3 years ago
• HKAB / ML-Project-Traffic-Flow-Forecasting
  ASTGCN, LSTM, GCN LSTM with fused result from previous week, day, hour
  ☆18Updated 2 years ago
• R0oup1iao / Traffic-Transformer
  This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at
  ☆25Updated 2 years ago
• yule-BUAA / DSTGCN
  codes of Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction
  ☆69Updated 2 years ago