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bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

dngr-keras

Learning graph representations using autoencoder

graph_representation_learning_with_gloabal_structural_information

This is a python implementation of the paper "GraRep: Learning Graph Representations with Global Structural Information". The improved implementation takes isolated nodes into consideration, generates distributed representation using Autoencoder instead of factorising matrix with SVD.

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

grarep

Source Code of GraRep

kubespray

Deploy a Production Ready Kubernetes Cluster

link-prediction

Representation learning for link prediction within social networks

linkpred

Easy link prediction tool

network-representation-learning

network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep

node2vec

Implementation of the node2vec algorithm.

node2vec-1

openne

An Open-Source Package for Network Embedding (NE)

sdne

This is a implementation of SDNE (Structural Deep Network embedding)

sevensevenseven666

sevensevenseven666.github.io

struc2vec

This repository provides a reference implementation of struc2vec.

vizuka

Explore high-dimensional datasets and how your algo handles specific regions.