Corpus ID: 231719365

Random Graph Matching with Improved Noise Robustness

@article{Mao2021RandomGM,
  title={Random Graph Matching with Improved Noise Robustness},
  author={Cheng Mao and Mark Rudelson and Konstantin E. Tikhomirov},
  journal={ArXiv},
  year={2021},
  volume={abs/2101.11783}
}
Graph matching, also known as network alignment, refers to finding a bijection between the vertex sets of two given graphs so as to maximally align their edges. This fundamental computational problem arises frequently in multiple fields such as computer vision and biology. Recently, there has been a plethora of work studying efficient algorithms for graph matching under probabilistic models. In this work, we propose a new algorithm for graph matching: Our algorithm associates each vertex with a… Expand
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