caesarstefanus Goto Github PK

15-puzzle

simple 15 puzzle web app game

20190523

Google Colaboratoryによるネットワーク分析入門

caesarstefanus

Config files for my GitHub profile.

caesarstefanus.github.io

cloud-ace

part-time

deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://deepgcns.org

deepwalk

DeepWalk - Deep Learning for Graphs

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

gat

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

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gnnpapers

Must-read papers on graph neural networks (GNN)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphsage

Representation learning on large graphs using stochastic graph convolutions.

hello-world

ho ho ho \o_o/

laughing-rotary-phone

exercises

learning-react

yeah

line

LINE: Large-scale information network embedding

literaturedl4graph

A comprehensive collection of recent papers on graph deep learning

minima

Minima is a one-size-fits-all Jekyll theme for writers.

my-gh-pages

node2vec

pygat

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

pygcn

Graph Convolutional Networks in PyTorch

sgc

official implementation for the paper "Simplifying Graph Convolutional Networks"

stronger_gcn

PyTorch implementation of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"

sudoku-web-app

sudoku web app

wikipedia-data-science

Working with and analyzing Wikipedia Data

word2vec

Automatically exported from code.google.com/p/word2vec