haoxuanx

haoxuanx's Stars

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.7k3.7k

• MachineLP/train_arch

  cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....

  Language:Python21075

• fish-kong/CSDN-code-link

  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

  15121

• tkipf/keras-gcn

  Keras implementation of Graph Convolutional Networks

  Language:Python792266

• tenwan/GCN-LSTM

  21

• FuadAhmad/GCN-LSTM

  MVTS Classification with GCN-LSTM

  Language:Jupyter Notebook192

• qetmes/GCN-LSTM

  Language:Python332

• troyyxk/GcnLstm

  Language:Python8

• 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 of this project is https://github.com/stellargraph/stellargraph

  Language:Jupyter Notebook254

• JinleiZhangBJTU/ResNet-LSTM-GCN

  Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit

  Language:Python17530

• Captain-F/BiLSTM-GCN-for-Sentiment-Analysis

  Language:Python162

• zhiyongc/Graph_Convolutional_LSTM

  Traffic Graph Convolutional Recurrent Neural Network

  Language:Jupyter Notebook387120

• tkipf/gcn

  Implementation of Graph Convolutional Networks in TensorFlow

  Language:Python7.2k2k

• luokn/astgcn

  Language:Python11

• luokn/matgcn

  Multi-Attention Temporal Graph Convolution Network for Traffic Flow Forecasting

  Language:Python18

• guoshnBJTU/ASTGNN

  This is a Pytorch implementation of ASTGNN. Now the corresponding paper is available online at https://ieeexplore.ieee.org/document/9346058.

  Language:Python19678

• martinwhl/T-GCN-PyTorch

  A PyTorch implementation of T-GCN

  Language:Python606

• 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。

  Language:Python11916

• lehaifeng/T-GCN

  Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

  Language:Jupyter Notebook1.5k453

• nocater/text_gcn

  原始项目:[GCN_AAAI2019](https://github.com/yao8839836/text_gcn/) add:多标签分类支持

  Language:Python187

• gusye1234/LightGCN-PyTorch

  The PyTorch implementation of LightGCN

  Language:Python898238

• guoshnBJTU/ASTGCN-2019-pytorch

  Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

  Language:Python618156

• Davidham3/ASTGCN-2019-mxnet

  ⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

  Language:Python396245

• tkipf/relational-gcn

  Keras-based implementation of Relational Graph Convolutional Networks

  Language:Python798133

• megvii-research/ML-GCN

  PyTorch implementation of Multi-Label Image Recognition with Graph Convolutional Networks, CVPR 2019.

  Language:Python1.4k350

• Morteza-j8/TGCN-Urban-Traffic-Prediction-Tenssorflow

  Tensorflow Code for TGCN

  11

• ZimingDai/NN_work

  GCN, GRU, TGCN, HA, ARIMA

  Language:Python42

• xinleil/Interaction-of-DIgSILENT-PowerFactory-and-Python-in-Power-System-Harmonic-Simulation-

  The harmonic stability of the power transmission system is simulated with DIgSILENT PowerFactory and embedded in a Python script to automate the EMT simulation. Further data analysis process is illustrated in Jupyter notebook with csv data exported by PowerFactory.

  Language:Python7

• dangomezos/Python-for-DIgSILENT

  Some scripts for PowerFactory tasks automation

  Language:Python4

• kvnet/DigSilent

  Python Scripts and Resultbox-Parameters for Digsilent PowerFactory 2019

  Language:Python81