Huaxiang94

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

keras-gat

Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

STGCN_IJCAI-18

[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

ActionRecognitionNotes

Learning human action recognition

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

st-gcn-pytorch

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

HGP-SL

Hierarchical Graph Pooling with Structure Learning

diffpool

GNNPapers

Must-read papers on graph neural networks (GNN)

graph-based-nn

Graph Convolutional Networks (GCNs)

Generative-Adversarial-Networks-Roadmap

The Roadmap to Learn Generative Adversarial Networks (GANs)

Generative_Adversarial_Networks_PyTorch

(PyTorch) Implementations of GAN, Improved GAN, DCGAN, LAPGAN, and InfoGAN in PyTorch

Generative-Adversarial-Network-Demo

Generative Adversarial Network Demo for Fresh Machine Learning #2

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

Generative-Adversarial-Networks-Projects

Generative Adversarial Networks Projects, published by Packt

AdversarialNetsPapers

Awesome paper list with code about generative adversarial nets