Hypergraph Matching

Hypergraph Matching is the problem of finding an optimal matching subset in a hypergraph, aiming to maximize the number or weight of matched edges. Compared to traditional graph matching, Hypergraph Matching can more accurately model many-to-many relationships, and it is widely applied in fields such as data mining, computer vision, and social network analysis, possessing significant theoretical and practical value.