George Karypis

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Vipin KumarUniversity of MinnesotaAdresse e-mail validée de umn.edu
Badrul M. SarwarMachine Learning Scientist, LinkedInAdresse e-mail validée de linkedin.com
Eui-Hong HanThe Washington PostAdresse e-mail validée de cs.umn.edu
Anshul GuptaIBM ResearchAdresse e-mail validée de ibm.com
John RiedlProfessor of Computer Science, University of MinnesotaAdresse e-mail validée de umn.edu
Huzefa RangwalaProfessor of Computer Science, George Mason/ ML Scientist, AmazonAdresse e-mail validée de cs.gmu.edu
Da ZhengAmazonAdresse e-mail validée de amazon.com
Joseph A. KonstanUniversity of MinnesotaAdresse e-mail validée de umn.edu
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateAdresse e-mail validée de osu.edu
Xiang SongSenior Applied Scientist at Amazon AWSAdresse e-mail validée de amazon.com
Mukund DeshpandePersistent SystemsAdresse e-mail validée de cs.umn.edu
Wei-Shou HuUniversity of Minnesota Twin CitiesAdresse e-mail validée de umn.edu
Bamshad MobasherSchool of Computing, DePaul UniversityAdresse e-mail validée de cs.depaul.edu
Michael SteinbachUniversity of MinnesotaAdresse e-mail validée de umn.edu
Christian DesrosiersProfessor, École de technologie supérieure - LIVIA - Regroupement stratégique REPARTIAdresse e-mail validée de etsmtl.ca
Minjie WangAWS Shanghai AI LabAdresse e-mail validée de nyu.edu
Timothy W Behrens MDHIBio Inc.Adresse e-mail validée de hibio.com
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabAdresse e-mail validée de nyu.edu
Mufei LiGeorgia Institute of TechnologyAdresse e-mail validée de gatech.edu
David C. AnastasiuSanta Clara University, Santa Clara, CAAdresse e-mail validée de scu.edu

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George Karypis

Distinguished McKnight University Professor, University of Minnesota; SPS, AWS

Adresse e-mail validée de umn.edu - Page d'accueil

Data mining Parallel computing Recommender systems Graph machine learning Chemical informatics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Item-based collaborative filtering recommendation algorithms B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 10th international conference on World Wide Web, 285-295, 2001	13251	2001
A fast and high quality multilevel scheme for partitioning irregular graphs G Karypis, V Kumar SIAM Journal on scientific Computing 20 (1), 359-392, 1998	7885	1998
A comparison of document clustering techniques M Steinbach, G Karypis, V Kumar TextMining Workshop at KDD2000 (May 2000), 2000	4203	2000
Chameleon: Hierarchical clustering using dynamic modeling G Karypis, EH Han, V Kumar Computer 32 (8), 68-75, 1999	3556	1999
Item-based top-n recommendation algorithms M Deshpande, G Karypis ACM Transactions on Information Systems (TOIS) 22 (1), 143-177, 2004	3398	2004
Introduction to Parallel Computing V Kumar, A Grama, A Gupta, G Karypis Benjamin Cummings/Addison Wesley, 1994	3095	1994
Analysis of recommendation algorithms for e-commerce B Sarwar, G Karypis, J Konstan, J Riedl Proceedings of the 2nd ACM Conference on Electronic Commerce, 158-167, 2000	3076	2000
Introduction to Parallel Computing: Design and Analysis of Algorithms 2/e A Grama, A Gupta, G Karypis, V Kumar Addison Wesley, 2003	3070*	2003
Interferon-inducible gene expression signature in peripheral blood cells of patients with severe lupus EC Baechler, FM Batliwalla, G Karypis, PM Gaffney, WA Ortmann, ... Proceedings of the National Academy of Sciences 100 (5), 2610-2615, 2003	2631	2003
Application of dimensionality reduction in recommender system-a case study B Sarwar, G Karypis, J Konstan, JT Riedl	2462	2000
Multilevel k-way Partitioning Scheme for Irregular Graphs G Karypis, V Kumar Journal of Parallel and Distributed computing 48 (1), 96-129, 1998	2389	1998
Multilevel hypergraph partitioning: Application in VLSI domain G Karypis, R Aggarwal, V Kumar, S Shekhar Proceedings of the 34th annual Design Automation Conference, 526-529, 1997	1980	1997
METIS: A software package for partitioning unstructured graphs, partitioning meshes, and computing fill-reducing orderings of sparse matrices G Karypis, V Kumar Department of Computer Science, University of Minnesota, 1997	1769	1997
Frequent subgraph discovery M Kuramochi, G Karypis Proceedings 2001 IEEE international conference on data mining, 313-320, 2001	1678	2001
Deep graph library: A graph-centric, highly-performant package for graph neural networks M Wang, D Zheng, Z Ye, Q Gan, M Li, X Song, J Zhou, C Ma, L Yu, Y Gai, ... arXiv preprint arXiv:1909.01315, 2019	1387	2019
Evaluation of Item-Based Top-N Recommendation Algorithms G Karypis Proceedings of the tenth international conference on Information and …, 2001	1096	2001
Criterion functions for document clustering: Experiments and analysis Y Zhao, G Karypis	1058	2001
A comprehensive survey of neighborhood-based recommendation methods C Desrosiers, G Karypis Recommender systems handbook, 107-144, 2010	1045	2010
METIS: Unstructured graph partitioning and sparse matrix ordering system G Karypis Technical report, 1997	1038	1997
Multilevel K-way hypergraph partitioning G Karypis, V Kumar Proceedings of ACM/IEEE Design Automation Conference, 343-348, 1999	982	1999

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