Nate Veldt

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Austin R BensonEmail yang diverifikasi di deshaw.com
David GleichPurdue UniversityEmail yang diverifikasi di purdue.edu
Jon KleinbergProfessor of Computer Science, Cornell UniversityEmail yang diverifikasi di cs.cornell.edu
Anthony WirthProfessor, School of Computer Science, The University of SydneyEmail yang diverifikasi di sydney.edu.au
Ilya AmburgRochester Institute of Technology; Pacific Northwest National LaboratoryEmail yang diverifikasi di rit.edu
Phil ChodrowAssistant Professor of Computer Science, Middlebury CollegeEmail yang diverifikasi di middlebury.edu
Shahin MohammadiBroad InstituteEmail yang diverifikasi di broadinstitute.org
Huda NassarPostdoc, Stanford UniversityEmail yang diverifikasi di stanford.edu
James SaundersonMonash UniversityEmail yang diverifikasi di monash.edu
Michael MahoneyProfessor of Statistics, UC BerkeleyEmail yang diverifikasi di stat.berkeley.edu
Pan LiGeorgia Institute of Technology, Purdue UniversityEmail yang diverifikasi di gatech.edu
Meng LiuMeta Platform IncEmail yang diverifikasi di purdue.edu
Christine KlymkoLawrence Livermore National LaboratoryEmail yang diverifikasi di llnl.gov
Junhao GanSenior Lecturer, School of Computing and Information Systems, The University of MelbourneEmail yang diverifikasi di unimelb.edu.au
Blair D. SullivanSchool of Computing, University of UtahEmail yang diverifikasi di utah.edu
Yufan HuangPurdue UniversityEmail yang diverifikasi di purdue.edu
Vedangi bengaliPhD student at Texas A&M UniversityEmail yang diverifikasi di tamu.edu
Chunyang LiaoUCLAEmail yang diverifikasi di math.ucla.edu
Simon FoucartProfessor of Mathematics, Texas A&M UniversityEmail yang diverifikasi di tamu.edu
Stephen J YoungPacific Northwest National LaboratoryEmail yang diverifikasi di pnnl.gov

Ikuti

Nate Veldt

Texas A&M University

Email yang diverifikasi di tamu.edu - Beranda

Algorithms Combinatorial Optimization Network Science Graph Algorithms Data Science


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Generative hypergraph clustering: From blockmodels to modularity PS Chodrow, N Veldt, AR Benson Science Advances 7 (28), eabh1303, 2021	163	2021
Clustering in graphs and hypergraphs with categorical edge labels I Amburg, N Veldt, A Benson Proceedings of The Web Conference 2020, 706-717, 2020	97	2020
A Correlation Clustering Framework for Community Detection N Veldt, DF Gleich, A Wirth Proceedings of the 2018 World Wide Web Conference on World Wide Web, 439-448, 2018	88	2018
Minimizing Localized Ratio Cut Objectives in Hypergraphs N Veldt, AR Benson, J Kleinberg Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	65	2020
Hypergraph cuts with general splitting functions N Veldt, AR Benson, J Kleinberg SIAM Review 64 (3), 650-685, 2022	63	2022
Low Rank Spectral Network Alignment H Nassar, N Veldt, S Mohammadi, A Grama, DF Gleich Proceedings of the 2018 World Wide Web Conference on World Wide Web, 619-628, 2018	57	2018
Combinatorial characterizations and impossibilities for higher-order homophily N Veldt, AR Benson, J Kleinberg Science Advances 9 (1), eabq3200, 2023	48*	2023
A simple and strongly-local flow-based method for cut improvement N Veldt, D Gleich, M Mahoney International Conference on Machine Learning, 1938-1947, 2016	43	2016
Strongly local hypergraph diffusions for clustering and semi-supervised learning M Liu, N Veldt, H Song, P Li, DF Gleich Proceedings of the Web Conference 2021, 2092-2103, 2021	40	2021
Flow-based local graph clustering with better seed set inclusion N Veldt, C Klymko, DF Gleich Proceedings of the 2019 SIAM International Conference on Data Mining, 378-386, 2019	36	2019
The generalized mean densest subgraph problem N Veldt, AR Benson, J Kleinberg Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	31	2021
Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds N Veldt International Conference on Machine Learning, 22060-22083, 2022	24	2022
Metric-Constrained Optimization for Graph Clustering Algorithms N Veldt, DF Gleich, A Wirth, J Saunderson SIAM Journal on Mathematics of Data Science 1 (2), 333-355, 2019	23*	2019
Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs N Veldt, A Wirth, DF Gleich Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	22*	2020
Diverse and Experienced Group Discovery via Hypergraph Clustering I Amburg, N Veldt, AR Benson Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022	15*	2022
Correlation Clustering Generalized DF Gleich, N Veldt, A Wirth 29th International Symposium on Algorithms and Computation (ISAAC 2018), 2018	15	2018
Augmented Sparsifiers for Generalized Hypergraph Cuts N Veldt, AR Benson, J Kleinberg Journal of Machine Learning Research 24 (207), 1-50, 2023	14*	2023
Correlation clustering with low-rank matrices N Veldt, AI Wirth, DF Gleich Proceedings of the 26th International Conference on World Wide Web, 1025-1034, 2017	14	2017
Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components N Veldt, AR Benson, J Kleinberg Advances in Neural Information Processing Systems 34, 3744-3756, 2021	12	2021
Learning Resolution Parameters for Graph Clustering N Veldt, D Gleich, A Wirth The World Wide Web Conference, 1909-1919, 2019	12	2019

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