ZzzAmy

winutils

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

METIS

METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

kahypar

KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

spark-distributed-louvain-modularity

Spark / graphX implementation of the distributed louvain modularity algorithm

spark_dbscan

DBSCAN clustering algorithm on top of Apache Spark

spark-graphx-source-analysis

spark graphx 的原理及相关操作的源码解析

dbscan-on-spark

An implementation of DBSCAN runing on top of Apache Spark

distributed-graph-analytics

Distributed Graph Analytics (DGA) is a compendium of graph analytics written for Bulk-Synchronous-Parallel (BSP) processing frameworks such as Giraph and GraphX. The analytics included are High Betweenness Set Extraction, Weakly Connected Components, Page Rank, Leaf Compression, and Louvain Modularity.

sparkling-graph

SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.

Translation_Spark-The-Definitive-Guide

Translation of the book,"Spark-The-Definitive-Guide", from English into Chinese. 书籍 《Spark权威指南》翻译

connected-component

Map Reduce Implementation of Connected Component on Apache Spark

graph-partitioning-algorithms

Multi-way graph partitioning algorithms: FMS (Fiduccia-Mattheyses-Sanchis), PLM (Partitioning by Locked Moves), PFM (Partitioning by Free Moves)

louvain-modularity

A GraphX implementation of Louvain method for community detection. This project also showcases the fact that you don't need to setup a cluster to run spark jobs.

spark-graphx-twitter

An example of Spark and GraphX with Twitter as sample

graphx-algorithm

Graph algorithms implemented in GraphX and Spark styles

Graph-Partitioning-Research

METIS, Balanced Label Propagation, Bayesian Sharding, and its optimization techniques

scripts

Scripts about docker and cluster managemant

PySpark-K-means-Clustering-ML

Using K means clustering with PySpark

dato-vs-graphx

Simple comparisons of Graph processing tools: Dato vs Spark GraphX

FlexGraph

FlexGraph: Flexible Partitioning and Storage for Scalable Graph Mining

graphx-scala

Compute graphs using Apache GraphX.

spark-skylark-rfm-spectral-clustering

Using Spark + Skylark to do large-scale spectral clustering with random feature maps

spark

graph-partitioning-tradeoff

Graph Partitioning and Computation Time Tradeoff Project

graphPartitioning

BDRP_Graph_Partitioning

spectral-partitioning

Messing around with eigenvalue-based graph partitioning

data-mining-assignment-5

K-way Graph Partitioning Using JaBeJa

wzgcs.github.io

Zhigang Wang's Homepage

GraphPartition

Block-based edge partition algorithm to large graphs