Nate Veldt

Orcid: 0000-0002-0117-3304

Affiliations:
  • Texas A&M University, College Station, TX, USA


According to our database1, Nate Veldt authored at least 41 papers between 2016 and 2024.

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Bibliography

2024
Overlapping and Robust Edge-Colored Clustering in Hypergraphs.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Growing a Random Maximal Independent Set Produces a 2-approximate Vertex Cover.
Proceedings of the 2024 Symposium on Simplicity in Algorithms, 2024

2023
Augmented Sparsifiers for Generalized Hypergraph Cuts.
J. Mach. Learn. Res., 2023

Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods.
CoRR, 2023

On the Optimal Recovery of Graph Signals.
CoRR, 2023

Seven open problems in applied combinatorics.
CoRR, 2023

Cut-matching Games for Generalized Hypergraph Ratio Cuts.
Proceedings of the ACM Web Conference 2023, 2023

Coordinated Botnet Detection in Social Networks via Clustering Analysis.
Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Optimal LP Rounding and Linear-Time Approximation Algorithms for Clustering Edge-Colored Hypergraphs.
Proceedings of the International Conference on Machine Learning, 2023

Faster Approximation Algorithms for Parameterized Graph Clustering and Edge Labeling.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Combinatorial Measures of Higher-order Homophily for Group Interaction Datasets.
Dataset, September, 2022

Hypergraph Cuts with General Splitting Functions.
SIAM Rev., 2022

Optimal LP Rounding and Fast Combinatorial Algorithms for Clustering Edge-Colored Hypergraphs.
CoRR, 2022

Diverse and Experienced Group Discovery via Hypergraph Clustering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Correlation Clustering via Strong Triadic Closure Labeling: Fast Approximation Algorithms and Practical Lower Bounds.
Proceedings of the International Conference on Machine Learning, 2022

2021
Faster Deterministic Approximation Algorithms for Correlation Clustering and Cluster Deletion.
CoRR, 2021

Higher-order Homophily is Combinatorially Impossible.
CoRR, 2021

Generative hypergraph clustering: from blockmodels to modularity.
CoRR, 2021

Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Approximate Decomposable Submodular Function Minimization for Cardinality-Based Components.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Generalized Mean Densest Subgraph Problem.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Fair Clustering for Diverse and Experienced Groups.
CoRR, 2020

Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs.
CoRR, 2020

Localized Flow-Based Clustering in Hypergraphs.
CoRR, 2020

Clustering in graphs and hypergraphs with categorical edge labels.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Parallel Projection Method for Metric Constrained Optimization.
Proceedings of the SIAM Workshop on Combinatorial Scientific Computing, 2020

Graph Clustering in All Parameter Regimes.
Proceedings of the 45th International Symposium on Mathematical Foundations of Computer Science, 2020

Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Minimizing Localized Ratio Cut Objectives in Hypergraphs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Metric-Constrained Optimization for Graph Clustering Algorithms.
SIAM J. Math. Data Sci., 2019

Hypergraph clustering with categorical edge labels.
CoRR, 2019

Learning Resolution Parameters for Graph Clustering.
Proceedings of the World Wide Web Conference, 2019

Flow-Based Local Graph Clustering with Better Seed Set Inclusion.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

2018
A Projection Method for Metric-Constrained Optimization.
CoRR, 2018

A Correlation Clustering Framework for Community Detection.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Low Rank Spectral Network Alignment.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Correlation Clustering Generalized.
Proceedings of the 29th International Symposium on Algorithms and Computation, 2018

2017
Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering.
CoRR, 2017

Correlation Clustering with Low-Rank Matrices.
Proceedings of the 26th International Conference on World Wide Web, 2017

2016
A Simple and Strongly-Local Flow-Based Method for Cut Improvement.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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