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gradient-centralization

A New Optimization Technique for Deep Neural Networks

graffitist

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

gran

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

granet

[Neurips 2021] Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

graph-bert

Source code of the "Graph-Bert: Only Attention is Needed for Learning Graph Representations" paper

graph-u-nets

Pytorch implementation of Graph U-Nets (ICML19)

graph_attention_pool

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

graph_nets

Build Graph Nets in Tensorflow

graphflow

Code & data accompanying the IJCAI 2020 paper "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension"

graphgallery

GraphGallery is a gallery of state-of-the-art Graph Neural Networks (GNNs) for TensorFlow 2.x and PyTorch.

graphmemorynet

Memory-Based Graph Networks

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

graphnormalization

Learning Graph Normalization for Graph Neural Networks

graphormer

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

greedyfool

GreedyFool (NIPS2020) official code for saprse adversarial attack

greenmim

[NeurIPS'2022] Official implementation of the paper 'Green Hierarchical Vision Transformer for Masked Image Modeling'.

gridmask

group_loss

Official code for "The Group Loss for Deep Metric Learning" paper (ECCV 2020)

groupwhitening

gsm-sgd

Global Sparse Momentum SGD for pruning very deep neural networks

gssnn

The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".

gvae

Code for the paper Generate High Resolution Images With Generative Variational Autoencoder

gvb

Code of Gradually Vanishing Bridge for Adversarial Domain Adaptation (CVPR2020)

gvnn

gvnn: Geometric Vision with Neural Networks

gwae

PyTorch Implementation for Gromov-Wasserstein Autoencoders (GWAE)

gwnn

A TensorFlow implementation of Graph Wavelet Neural Network

gym

A toolkit for developing and comparing reinforcement learning algorithms.

h-at

training code for "H-AT: Hybrid Attention Transfer for Knowledge Distillation"