Abstract
AbstractHigh-order correlations among data exist widely in various practical applications. Compared with the simple graph which can only model the pairwise relationship between two subjects, hypergraph is a flexible and representative model to formulate high-order correlations. Based on the hypergraph model, there have been many efforts to design the computation framework and analyze the high-order correlations. In this chapter, we briefly introduce the hypergraph computation, including its background, definition, history, recent challenges, and objectives.
Publisher
Springer Nature Singapore