开源代码参考：学习与优化

Graph Convolutional Networks
- paper -> paper link -> github
- - Distilling Knowledge From Graph Convolutional Networks
  - GMAN: A Graph Multi-Attention Network for Traffic Prediction
  - GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
  - GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
  - Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks
  - Graph convolutional networks for text classification
  - Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition
  - How Powerful are Graph Neural Networks?
  - Graph Matching Networks for Learning the Similarity of Graph Structured Objects
  - Provably Powerful Graph Networks
  - Hierarchical Graph Representation Learning with Differentiable Pooling
  - Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
  - Modeling Relational Data with Graph Convolutional Networks
  - Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
  - GraphSAGE：Inductive Representation Learning on Large Graphs
- other related methods realization

Graph Convolutional Networks

paper -> paper link -> github

Distilling Knowledge From Graph Convolutional Networks

CVPR 2020
https://github.com/ihollywhy/DistillGCN.PyTorch

GMAN: A Graph Multi-Attention Network for Traffic Prediction

AAAI 2020
https://github.com/VincLee8188/GMAN-PyTorch

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

ICLR 2020
https://github.com/hlzhang109/PyTorch-GraphNVP

GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification

IJCAI 2020
https://github.com/ziyujia/GraphSleepNet/blob/master/model/GraphSleepNet.py

Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks

IEEE-TCSV 2020
https://github.com/weizhou-geek/VGCN-PyTorch/blob/master/model/final_model.py

Graph convolutional networks for text classification

AAAI2019
https://github.com/chengsen/PyTorch_TextGCN/blob/main/layer.py

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

CVPR 2019
https://github.com/lshiwjx/2s-AGCN/blob/master/model/aagcn.py

How Powerful are Graph Neural Networks?

ICLR 2019
https://github.com/cleverer123/GraphIsomorphism_Torch

Graph Matching Networks for Learning the Similarity of Graph Structured Objects

ICML 2019
https://github.com/huunghia160799/Graph-Matching-Networks-PyTorch

Provably Powerful Graph Networks

NIPS 2019
https://github.com/hadarser/ProvablyPowerfulGraphNetworks_torch/blob/master/layers/modules.py

Hierarchical Graph Representation Learning with Differentiable Pooling

NIPS 2018
https://github.com/EstelleHuang666/gnn_hierarchical_pooling

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

ICLR 2018
https://github.com/liyaguang/DCRNN
https://github.com/VincLee8188/Spatio-temporal-forecasting-PyTorch
https://github.com/anandgokul18/DCRNN_PyTorch_Highway

Modeling Relational Data with Graph Convolutional Networks

ESWC 2018
https://github.com/thiviyanT/torch-rgcn/tree/master/torch_rgcn

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

IJCAI 2017
https://github.com/FelixOpolka/STGCN-PyTorch/blob/master/stgcn.py
https://github.com/VincLee8188/STGCN-PyTorch

GraphSAGE：Inductive Representation Learning on Large Graphs

NIPS 2017
官方介绍链接：http://snap.stanford.edu/graphsage/
https://github.com/jisungyoon/GraphSAGE
https://github.com/williamleif/GraphSAGE

other related methods realization

https://github.com/HanGuangXin/Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch
https://github.com/Zhikaiiii/traffic-prediction/blob/master/GCN.py
本模型主要是使用经典的LSTM网络在时间序列上对每天增加的感染病人数进行预测，当然涉及到很多实验数据预处理的部分（见data_process），同时为了提高性能用GCN网络做了特征提取。pytorch geometry
https://github.com/Zhongyu-Zhang/Time-series-Forecast/blob/master/GCN-model/GraphConv.py
https://github.com/DebasmitaGhose/PyTorch_Graph_Neural_Network_MNIST/blob/master/gnn_mnist.py
https://github.com/SullyChen/Molecular-Solubility-with-PyTorch-Geometric/blob/main/Molecular%20Solubility.ipynb
3D Face Classification with Graph Neural Networks
https://github.com/w00zie/3d_face_class
KG-Embedding-Learning-PyTorch
https://github.com/spino17/KG-Embedding-Learning—PyTorch

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