Understanding the Cluster Linear Program for Correlation Clustering-Reference-Cited by-同舟云学术

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Understanding the Cluster Linear Program for Correlation Clustering

Published:2024-06-10 Issue: Volume:20 Page:1605-1616
ISSN:
Container-title:Proceedings of the 56th Annual ACM Symposium on Theory of Computing
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Author:

Cao Nairen¹^ORCID,Cohen-Addad Vincent²^ORCID,Lee Euiwoong³^ORCID,Li Shi⁴^ORCID,Newman Alantha⁵^ORCID,Vogl Lukas⁶^ORCID

Affiliation:

1. Boston College, Brighton, USA

2. Google Research, Grenoble, France

3. University of Michigan, Ann Arbor, USA

4. Nanjing University, Nanjing, China

5. CNRS - Université Grenoble Alpes, Grenoble, France

6. École polytechnique fédérale de Lausanne, Lausanne, Switzerland

Funder

NSF CCF

Google

State Key Laboratory for Novel Software Technology

New Cornerstone Science Laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3618260.3649749

Reference42 articles.

1. Generating labels from clicks

2. Sara Ahmadian and Maryam Negahbani. 2023. Improved approximation for fair correlation clustering. In International Conference on Artificial Intelligence and Statistics. 9499–9516.

3. Correlation Clustering in Data Streams

4. Aggregating inconsistent information

5. Large-Scale Deduplication with Constraints Using Dedupalog

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