Just to get the ball rolling, I have been looking at what the other libraries have about this.
HGX
Hy-MMSBM (hypergraph mixed-membership stochastic block model). They do the fitting part using EM.
Hy-SC (spectral clustering). I'd have to read the paper for the details.
Hypergraph-MT (mixed memberships, assortative structures), also here EM.
Hyperlink communities. Hierarchical clustering on hyperedges distances/similarities.
HypernetX
Modularity stuff. They have two methods that apply Louvain to maximize the extension of modularity to HGs (I think the one defined here--I have just skimmed the papers).
Which ones do we want to implement? Do we have a priority list or something of the kind?
Just to get the ball rolling, I have been looking at what the other libraries have about this.
HGX
HypernetX
Which ones do we want to implement? Do we have a priority list or something of the kind?