George Karypis

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Vipin KumarUniversity of MinnesotaVerified email at umn.edu
Eui-Hong HanThe Washington PostVerified email at cs.umn.edu
Badrul M. SarwarMachine Learning Scientist, LinkedInVerified email at linkedin.com
Anshul GuptaIBM ResearchVerified email at ibm.com
John RiedlProfessor of Computer Science, University of MinnesotaVerified email at umn.edu
Da ZhengAmazonVerified email at amazon.com
Huzefa RangwalaProfessor of Computer Science, George Mason/ ML Scientist, AmazonVerified email at cs.gmu.edu
Joseph A. KonstanUniversity of MinnesotaVerified email at umn.edu
Xia NingProfessor, Biomedical Informatics, Computer Science and Engineering, The Ohio StateVerified email at osu.edu
Xiang SongSenior Applied Scientist at Amazon AWSVerified email at amazon.com
Mukund DeshpandePersistent SystemsVerified email at cs.umn.edu
Wei-Shou HuUniversity of Minnesota Twin CitiesVerified email at umn.edu
Bamshad MobasherSchool of Computing, DePaul UniversityVerified email at cs.depaul.edu
Michael SteinbachUniversity of MinnesotaVerified email at umn.edu
Vassilis N. Ioannidis, PhDAmazonVerified email at amazon.com
Christian DesrosiersProfessor, École de technologie supérieure - LIVIA - Regroupement stratégique REPARTIVerified email at etsmtl.ca
Minjie WangAWS Shanghai AI LabVerified email at nyu.edu
Timothy W Behrens MDHIBio Inc.Verified email at hibio.com
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabVerified email at nyu.edu
Mufei LiGeorgia Institute of TechnologyVerified email at gatech.edu

George Karypis

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

Verified email at umn.edu - Homepage

Data mining Parallel computing Recommender systems Graph machine learning Chemical informatics


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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	13005	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	7740	1998
A comparison of document clustering techniques M Steinbach, G Karypis, V Kumar TextMining Workshop at KDD2000 (May 2000), 2000	4166	2000
Chameleon: Hierarchical clustering using dynamic modeling G Karypis, EH Han, V Kumar Computer 32 (8), 68-75, 1999	3527	1999
Item-based top-n recommendation algorithms M Deshpande, G Karypis ACM Transactions on Information Systems (TOIS) 22 (1), 143-177, 2004	3353	2004
Introduction to Parallel Computing V Kumar, A Grama, A Gupta, G Karypis Benjamin Cummings/Addison Wesley, 1994	3077	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	3051	2000
Introduction to Parallel Computing: Design and Analysis of Algorithms 2/e A Grama, A Gupta, G Karypis, V Kumar Addison Wesley, 2003	3035*	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	2596	2003
Application of dimensionality reduction in recommender system-a case study B Sarwar, G Karypis, J Konstan, JT Riedl	2441	2000
Multilevel k-way Partitioning Scheme for Irregular Graphs G Karypis, V Kumar Journal of Parallel and Distributed computing 48 (1), 96-129, 1998	2367	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	1955	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	1724	1997
Frequent subgraph discovery M Kuramochi, G Karypis Proceedings 2001 IEEE international conference on data mining, 313-320, 2001	1669	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	1263	2019
Evaluation of Item-Based Top-N Recommendation Algorithms G Karypis Proceedings of the tenth international conference on Information and …, 2001	1092	2001
Criterion functions for document clustering: Experiments and analysis Y Zhao, G Karypis	1050	2001
METIS: Unstructured graph partitioning and sparse matrix ordering system G Karypis Technical report, 1997	1026	1997
A comprehensive survey of neighborhood-based recommendation methods C Desrosiers, G Karypis Recommender systems handbook, 107-144, 2010	1025	2010
Multilevel K-way hypergraph partitioning G Karypis, V Kumar Proceedings of ACM/IEEE Design Automation Conference, 343-348, 1999	966	1999

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