Seeded Graph Matching: Efficient Algorithms and Theoretical Guarantees

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Farhad Shirani, Siddharth Garg, and Elza Erkip

In this paper, a new information theoretic framework for graph matching is introduced. Using this framework, the graph isomorphism and seeded graph matching problems are studied. The maximum degree algorithm for graph isomorphism is analyzed and sufficient conditions for successful matching are rederived using type analysis. Furthermore, a new seeded matching algorithm with polynomial time complexity is introduced. The algorithm uses `typicality matching’ and techniques from point-to-point communications for reliable matching.