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deepwalk_tensorflow

Deepwalk algorithm by Bryan Perozzi implemented using TensorFlow.

denoising-gnn

Implementation for Denoising Graph Neural Networks

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

dgp

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

doc2vecc

Doc2VecC from the paper "Efficient Vector Representation for Documents through Corruption"

docker-caffe

Caffe Build for Docker for TitanX server

eegnet

Probabilistic Inference framework for constructing functional brain network from EEG Data.

evojax

fcl

Flexible Collision Library

fvswnrori

妥当性確認試験

ganim

My clone of [manim](https://github.com/3b1b/manim)

gat

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

gba4ios

Mirror of gba4ios. This version works with the lastest cocoapods and ios10 (tested on ip 6, 6s, and 5c)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gear.github.io

gfnn

Graph Filter Neural Network (ICPR'20)

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

gpuimage

An open source iOS framework for GPU-based image and video processing

grakel

A scikit-learn compatible library for graph kernels

graph-datasets

Dataset and pytorch loaders for graphs

graph-embedding

Implementations for some of the most popular graph embedding algorithms

graph-homomorphism-network

Graph Homomorphism Convolution (ICML'20)

graph-kernels

Graph kernels

graph-reading-group

Weekly reading group on Graphs at Mila

graph-tool

An efficient python module for analysis and manipulation of graphs.

graph_cert

Certifiable Robustness to Graph Perturbations

graphsage

Representation learning on large graphs using stochastic graph convolutions.

harp

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

hom-ml

Graph learning via homomorphism

homlib

Homomorphism Counting Algorithm