Community detection with a subsampled semidefinite program

@article{Abdalla2022CommunityDW,
  title={Community detection with a subsampled semidefinite program},
  author={Pedro Abdalla and Afonso S. Bandeira},
  journal={Sampling Theory, Signal Processing, and Data Analysis},
  year={2022}
}
  • Pedro AbdallaA. Bandeira
  • Published 2 February 2021
  • Computer Science
  • Sampling Theory, Signal Processing, and Data Analysis
Semidefinite programming is an important tool to tackle several problems in data science and signal processing, including clustering and community detection. However, semidefinite programs are often slow in practice, so speed up techniques such as sketching are often considered. In the context of community detection in the stochastic block model, Mixon and Xie (IEEE Trans Inform Theory 67(10): 6832–6840, 2021) have recently proposed a sketching framework in which a semidefinite program is… 

Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means Clustering

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