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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

author-disambiguation

bfs

Breadth First Search with shortest path and distance from the initial vertex.

bfs_base

Mencari Jalur terdekat dan Jalur terjauh dari Base A ke base B pada game Point Blank

commentsmining

用户评论标签挖掘

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan_code

Deep Convolutional Generative Adversarial Networks

dmne

dmne is an algorithm to learn node representations from multi-network data.

download

🔴蓝灯最新版本下载 https://github.com/getlantern/download 🔴 Lantern Latest Download https://github.com/getlantern/lantern/releases/tag/latest 🔴

dynamictriad

Dynamic Network Embedding by Modeling Triadic Closure Process

euler

A distributed graph deep learning framework.

facebook-link-prediction

facebook link prediction kaggle challenge.

fmg

KDD17_FMG

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gensim

Topic Modelling for Humans

git-basic

gpf

GPF（Graph Processing Flow）：利用图神经网络处理问题的一般化流程

graphembeddingrecommendationsystem

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

graphinception

GraphInception code.

graphsage

Representation learning on large graphs using stochastic graph convolutions.

graphwave

hge

hin2vec

Heterogeneous information network representation learning

irgan

IRGAN SIGIR paper experimental code

jwalk

:walking: Cython implementation of DeepWalk

k-means

A Python implementation of k-means clustering algorithm.

k-means-plus-plus-pandas

An implementation of the k-means++ clustering algorithm using Pandas

leakgan

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

link-prediction-based-on-ml

通过研究社交网络，从网络中提取拓扑结构特征，运用机器学习方法进行链路预测，比较了几种机器学习算法的预测精度。