| 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 | 52 | 2018 |
| 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 | 36 | 2018 |
| 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 | 27 | 2016 |
| Clustering in graphs and hypergraphs with categorical edge labels I Amburg, N Veldt, A Benson Proceedings of The Web Conference 2020, 706-717, 2020 | 25 | 2020 |
| 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 | 19 | 2019 |
| 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 | 16 | 2020 |
| 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 | 13 | 2017 |
| Correlation Clustering Generalized DF Gleich, N Veldt, A Wirth 29th International Symposium on Algorithms and Computation (ISAAC 2018), 2018 | 11 | 2018 |
| 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 | 8 | 2021 |
| Learning Resolution Parameters for Graph Clustering N Veldt, D Gleich, A Wirth The World Wide Web Conference, 1909-1919, 2019 | 8 | 2019 |
| Higher-order Homophily is Combinatorially Impossible N Veldt, AR Benson, J Kleinberg arXiv preprint arXiv:2103.11818, 2021 | 7 | 2021 |
| The generalized mean densest subgraph problem N Veldt, AR Benson, J Kleinberg Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 5 | 2021 |
| 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 | 4 | 2020 |
| 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 | 3 | 2020 |
| Augmented Sparsifiers for Generalized Hypergraph Cuts AR Benson, J Kleinberg, N Veldt arXiv preprint arXiv:2007.08075, 2020 | 3 | 2020 |
| Optimization Frameworks for Graph Clustering N Veldt Purdue University West Lafayette, 2019 | 3 | 2019 |
David GleichPurdue UniversityVerified email at purdue.edu
