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Nate Veldt
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Year
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
522018
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
362018
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
272016
Clustering in graphs and hypergraphs with categorical edge labels
I Amburg, N Veldt, A Benson
Proceedings of The Web Conference 2020, 706-717, 2020
252020
Generative hypergraph clustering: From blockmodels to modularity
PS Chodrow, N Veldt, AR Benson
Science Advances 7 (28), eabh1303, 2021
23*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
192019
Minimizing Localized Ratio Cut Objectives in Hypergraphs
N Veldt, AR Benson, J Kleinberg
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
18*2020
Hypergraph Cuts with General Splitting Functions
N Veldt, AR Benson, J Kleinberg
arXiv preprint arXiv:2001.02817, 2020
162020
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
16*2019
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
132017
Correlation Clustering Generalized
DF Gleich, N Veldt, A Wirth
29th International Symposium on Algorithms and Computation (ISAAC 2018), 2018
112018
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
10*2020
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
82021
Learning Resolution Parameters for Graph Clustering
N Veldt, D Gleich, A Wirth
The World Wide Web Conference, 1909-1919, 2019
82019
Higher-order Homophily is Combinatorially Impossible
N Veldt, AR Benson, J Kleinberg
arXiv preprint arXiv:2103.11818, 2021
72021
The generalized mean densest subgraph problem
N Veldt, AR Benson, J Kleinberg
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
52021
A parallel projection method for metric constrained optimization
C Ruggles, N Veldt, DF Gleich
2020 Proceedings of the SIAM Workshop on Combinatorial Scientific Computing …, 2020
42020
Graph Clustering in All Parameter Regimes
J Gan, DF Gleich, N Veldt, A Wirth, X Zhang
45th International Symposium on Mathematical Foundations of Computer Science …, 2020
32020
Augmented Sparsifiers for Generalized Hypergraph Cuts
AR Benson, J Kleinberg, N Veldt
arXiv preprint arXiv:2007.08075, 2020
32020
Optimization Frameworks for Graph Clustering
N Veldt
Purdue University West Lafayette, 2019
32019
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Articles 1–20