GraphLab: A New Framework For Parallel Machine Learning

9 August 2014

Papers citing "GraphLab: A New Framework For Parallel Machine Learning"

50 / 106 papers shown

Title
Building Near-Real-Time Processing Pipelines with the Spark-MPI Platform N. Malitsky Aashish Chaudhary S. Jourdain Matt Cowan P. O’leary M. Hanwell K. K. Dam 13 11 0 13 May 2018
Cut to Fit: Tailoring the Partitioning to the Computation Iacovos G. Kolokasis Polyvios Pratikakis 9 1 0 20 Apr 2018
Bernoulli Embeddings for Graphs Vinith Misra S. Bhatia 14 16 0 25 Mar 2018
ModelChain: Decentralized Privacy-Preserving Healthcare Predictive Modeling Framework on Private Blockchain Networks Tsung-Ting Kuo L. Ohno-Machado OOD 10 234 0 06 Feb 2018
Ray: A Distributed Framework for Emerging AI Applications Philipp Moritz Robert Nishihara Stephanie Wang Alexey Tumanov Richard Liaw ... Melih Elibol Zongheng Yang William Paul Michael I. Jordan Ion Stoica GNN 30 1,228 0 16 Dec 2017
GraphR: Accelerating Graph Processing Using ReRAM Linghao Song Youwei Zhuo Xuehai Qian Hai Helen Li Yiran Chen GNN 22 245 0 21 Aug 2017
Execution Templates: Caching Control Plane Decisions for Strong Scaling of Data Analytics Omid Mashayekhi Hang Qu Chinmayee Shah P. Levis 21 25 0 04 May 2017
Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? Vraj Shah Arun Kumar Xiaojin Zhu 17 25 0 03 Apr 2017
Study on Resource Efficiency of Distributed Graph Processing Miguel E. Coimbra Alexandre P. Francisco L. Veiga GNN 16 1 0 30 Mar 2017
Gunrock: GPU Graph Analytics Yangzihao Wang Yuechao Pan Andrew A. Davidson Yuduo Wu Carl Yang ... Muhammad Osama C. Yuan Weitang Liu Andy T. Riffel John Douglas Owens 22 112 0 04 Jan 2017
Distributed Graph Layout for Scalable Small-world Network Analysis George M. Slota S. Rajamanickam Kamesh Madduri 19 2 0 02 Jan 2017
Distributed Data Processing Frameworks for Big Graph Data Afsin Akdogan Hien To GNN 6 0 0 18 Dec 2016
Distributed Coordinate Descent for Generalized Linear Models with Regularization I. Trofimov A. Genkin 26 7 0 07 Nov 2016
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library Disa Mhembere Da Zheng Carey E. Priebe Joshua T. Vogelstein Randal C. Burns 32 0 0 28 Jun 2016
Efficient and High-quality Sparse Graph Coloring on the GPU Xuhao Chen Pingfan Li Jianbin Fang T. Tang Zhiying Wang Canqun Yang 37 14 0 20 Jun 2016
Level Up Your Strategy: Towards a Descriptive Framework for Meaningful Enterprise Gamification Xinghao Pan 29 62 0 29 May 2016
Probabilistic Graphical Models on Multi-Core CPUs using Java 8 A. Masegosa Ana M. Martínez Hanen Borchani TPM 25 16 0 27 Apr 2016
A Survey on Domain-Specific Languages for Machine Learning in Big Data I. Portugal Paulo S. C. Alencar Donald D. Cowan AI4CE 18 13 0 24 Feb 2016
Big Graph Mining: Frameworks and Techniques Sabeur Aridhi E. M. Nguifo AI4CE GNN 16 60 0 09 Feb 2016
Fast K-Means with Accurate Bounds J. Newling F. Fleuret 8 64 0 08 Feb 2016
Real-Time Community Detection in Large Social Networks on a Laptop B. Chamberlain Josh Levy-Kramer C. Humby M. Deisenroth GNN 7 1 0 15 Jan 2016
Strategies and Principles of Distributed Machine Learning on Big Data Eric Xing Qirong Ho P. Xie Wei-Ming Dai AI4CE 24 153 0 31 Dec 2015
S-PowerGraph: Streaming Graph Partitioning for Natural Graphs by Vertex-Cut Cong Xie Wu-Jun Li Zhihua Zhang 22 8 0 09 Nov 2015
Embarrassingly Parallel Variational Inference in Nonconjugate Models Willie Neiswanger Chong-Jun Wang Eric Xing 21 16 0 14 Oct 2015
Exploring Online Ad Images Using a Deep Convolutional Neural Network Approach Michael Fire Jonathan Schler 19 11 0 02 Sep 2015
Distributed Algorithms for Finding Local Clusters Using Heat Kernel Pagerank F. C. Graham O. Simpson 16 14 0 31 Jul 2015
Thinking Like a Vertex: a Survey of Vertex-Centric Frameworks for Distributed Graph Processing Ryan McCune Tim Weninger G. Madey 19 161 0 15 Jul 2015
Big Data Analytics in Bioinformatics: A Machine Learning Perspective H. Kashyap H. A. Ahmed N. Hoque Swarup Roy D. Bhattacharyya AI4CE 16 91 0 15 Jun 2015
Fast Differentially Private Matrix Factorization Ziqi Liu Yu-Xiang Wang Alex Smola FedML 49 124 0 06 May 2015
fastFM: A Library for Factorization Machines Immanuel Bayer AI4CE LRM 26 36 0 04 May 2015
ELM-Based Distributed Cooperative Learning Over Networks Wu Ai Weisheng Chen 18 1 0 04 Apr 2015
Accelerating Direction-Optimized Breadth First Search on Hybrid Architectures Scott Sallinen Abdullah Gharaibeh M. Ripeanu 24 5 0 14 Mar 2015
SybilFrame: A Defense-in-Depth Framework for Structure-Based Sybil Detection Peng Gao Neil Zhenqiang Gong Sanjeev R. Kulkarni Kurt Thomas Prateek Mittal AAML 20 41 0 10 Mar 2015
Purine: A bi-graph based deep learning framework Min Lin Shuo Li Xuan Luo Shuicheng Yan GNN 31 8 0 19 Dec 2014
Max-Product Belief Propagation for Linear Programming: Applications to Combinatorial Optimization Sejun Park Jinwoo Shin 23 7 0 16 Dec 2014
Distributed Coordinate Descent for L1-regularized Logistic Regression I. Trofimov A. Genkin 20 15 0 24 Nov 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 41 84 0 24 Nov 2014
Parallel and Distributed Collaborative Filtering: A Survey Efthalia Karydi K. Margaritis 19 37 0 09 Sep 2014
Mathematical and Algorithmic Analysis of Network and Biological Data Charalampos E. Tsourakakis 40 11 0 30 Jun 2014
Streaming Graph Partitioning in the Planted Partition Model Charalampos E. Tsourakakis 35 24 0 30 Jun 2014
DimmWitted: A Study of Main-Memory Statistical Analytics Ce Zhang Christopher Ré 36 145 0 28 Mar 2014
Distributed Edge Partitioning for Graph Processing Alessio Guerrieri A. Montresor 31 25 0 25 Mar 2014
Sparse Allreduce: Efficient Scalable Communication for Power-Law Data Huasha Zhao John F. Canny 27 9 0 11 Dec 2013
MLI: An API for Distributed Machine Learning Evan R. Sparks Ameet Talwalkar Virginia Smith Jey Kottalam Xinghao Pan Joseph E. Gonzalez Michael Franklin Michael I. Jordan Tim Kraska VLM 37 204 0 21 Oct 2013
xDGP: A Dynamic Graph Processing System with Adaptive Partitioning Luis M. Vaquero Félix Cuadrado Dionysios Logothetis Claudio Martella 36 32 0 04 Sep 2013
Online Tensor Methods for Learning Latent Variable Models Furong Huang U. Niranjan Mohammad Umar Hakeem Anima Anandkumar 51 54 0 03 Sep 2013
A Hypergraph-Partitioned Vertex Programming Approach for Large-scale Consensus Optimization Hui Miao Xiangyang Liu Bert Huang Lise Getoor 45 16 0 30 Aug 2013
Accelerated Mini-Batch Stochastic Dual Coordinate Ascent Shai Shalev-Shwartz Tong Zhang ODL 55 150 0 12 May 2013
RockIt: Exploiting Parallelism and Symmetry for MAP Inference in Statistical Relational Models Jan Nößner Mathias Niepert Heiner Stuckenschmidt 41 105 0 16 Apr 2013
Counting Triangles in Massive Graphs with MapReduce T. Kolda Ali Pinar T. Plantenga Seshadhri Comandur Christine Task 43 84 0 24 Jan 2013