ZzzAmy's Stars
cdarlint/winutils
winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows
KarypisLab/METIS
METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering
kahypar/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.
Sotera/spark-distributed-louvain-modularity
Spark / graphX implementation of the distributed louvain modularity algorithm
alitouka/spark_dbscan
DBSCAN clustering algorithm on top of Apache Spark
endymecy/spark-graphx-source-analysis
spark graphx 的原理及相关操作的源码解析
irvingc/dbscan-on-spark
An implementation of DBSCAN runing on top of Apache Spark
Sotera/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/sparkling-graph
SparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
SnailDove/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
kwartile/connected-component
Map Reduce Implementation of Connected Component on Apache Spark
alidasdan/graph-partitioning-algorithms
Multi-way graph partitioning algorithms: FMS (Fiduccia-Mattheyses-Sanchis), PLM (Partitioning by Locked Moves), PFM (Partitioning by Free Moves)
johnasbaghi/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.
NashTech-Labs/spark-graphx-twitter
An example of Spark and GraphX with Twitter as sample
sjtu-iiot/graphx-algorithm
Graph algorithms implemented in GraphX and Spark styles
SteveDengZishi/Graph-Partitioning-Research
METIS, Balanced Label Propagation, Bayesian Sharding, and its optimization techniques
newnius/scripts
Scripts about docker and cluster managemant
farhanafayez/PySpark-K-means-Clustering-ML
Using K means clustering with PySpark
keiraqz/dato-vs-graphx
Simple comparisons of Graph processing tools: Dato vs Spark GraphX
snudatalab/FlexGraph
FlexGraph: Flexible Partitioning and Storage for Scalable Graph Mining
rklick-solutions/graphx-scala
Compute graphs using Apache GraphX.
rustandruin/spark-skylark-rfm-spectral-clustering
Using Spark + Skylark to do large-scale spectral clustering with random feature maps
larryxiao/spark
YosubShin/graph-partitioning-tradeoff
Graph Partitioning and Computation Time Tradeoff Project
jackkolokasis/graphPartitioning
JulioCandela1993/BDRP_Graph_Partitioning
rahulsmehta/spectral-partitioning
Messing around with eigenvalue-based graph partitioning
rigvedpatki/data-mining-assignment-5
K-way Graph Partitioning Using JaBeJa
wzgcs/wzgcs.github.io
Zhigang Wang's Homepage
YifanLi/GraphPartition
Block-based edge partition algorithm to large graphs