hypergraph embedding

Hypergraph embedding is an extension of graph embedding that aims to compute useful representations of hyperedges and vertices. This task achieves efficient information representation and processing by mapping the hypergraph structure into a low-dimensional vector space, capturing complex many-to-many relationships between nodes. These representations have significant application value in areas such as social network analysis, recommendation systems, and bioinformatics, enhancing the performance and interpretability of models.