Distributed GraphLab

Yucheng Low, Danny Bickson, Joseph E. Gonzalez, +3

Proceedings of the VLDB Endowment

Cluster ComputingData ConsistencyGraphlab AbstractionEngineeringData Science +13

PowerGraph: distributed graph-parallel computation on natural graphs

Joseph E. Gonzalez, Yucheng Low, Haijie Gu, +2

Operating Systems Design and Implementation

Cluster ComputingEngineeringNetwork AnalysisGraph DatabaseGraph Processing +17

GraphLab: A New Framework For Parallel Machine Learning

Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, +3

arXiv (Cornell University)

Cluster ComputingEngineeringMachine LearningGraphlab FrameworkMap-reduce +18

GraphLab: A New Framework for Parallel Machine Learning

Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, +3

arXiv (Cornell University)

Cluster ComputingEngineeringMachine LearningGraphlab FrameworkMap-reduce +18

Scalable distributed inference of dynamic user interests for behavioral targeting

Amr Ahmed, Yucheng Low, Mohamed Aly, +2

EngineeringUser SegmentationText MiningComputational Social ScienceInformation Retrieval +16

Residual Splash for Optimally Parallelizing Belief Propagation

Joseph E. Gonzalez, Yucheng Low, Carlos Guestrin

Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees

Joseph E. Gonzalez, Yucheng Low, Arthur Gretton, +1

Distributed GraphLab: A Framework for Machine Learning in the Cloud

Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, +3

arXiv (Cornell University)

Cluster ComputingEngineeringMachine LearningGraphlab FrameworkComputer Architecture +23

Kernel Belief Propagation

Le Song, Arthur Gretton, Danny Bickson, +2

arXiv (Cornell University)

Image AnalysisMachine LearningData ScienceEngineeringPattern Recognition +13

Distributed Parallel Inference on Large Factor Graphs

Joseph E. Gonzalez, Yucheng Low, Carlos Guestrin, +1

arXiv (Cornell University)

Cluster ComputingEngineeringNetwork AnalysisParallel AlgorithmsGraph Processing +18