Ni! Incidence matrices can be trated as a subset of an adjacency matrix (and in this sense hypergraphs as a special case of graphs), so in principle there is no problem to work around. You just need to properly interpret the model in terms of membership to hyperedges instead of connections to nodes.
You should hardcode the bipartite structure when running the DL minimization in order to save processing time (see the pclabel param). If you're convinced that this doesn't suite your needs, you should explicitly formulate your conceptual issue so we can provide useful advice. Cheers! .~´ On Tue, Mar 3, 2020 at 5:23 AM Alireza Kashani < [email protected]> wrote: > Thanks Alexander, > > May be my question was not clear enough - as you said, my data is already > an incident matrix. > I would like to use stochastic-block-models, and seems they only work with > adjacency matrices. Therefore, I wonder what are the possibilities to > work-around this problem. > > Br > > > On Mon, Mar 2, 2020 at 9:35 PM Alexandre Hannud Abdo <[email protected]> > wrote: > >> Ni! Hi Alireza, >> >> One way to work with hypergraphs is to use the incidence graph >> <https://en.wikipedia.org/wiki/Hypergraph> representation of the >> hypergraph. >> >> Abraços, >> ale >> .~´ >> >> On Mon, Mar 2, 2020 at 5:28 PM Alireza Kashani < >> [email protected]> wrote: >> >>> Hi, >>> >>> I wonder how one can work with hyper-graphs using graph-tool. For >>> example in my work, I would like to feed a data where rows are journals and >>> columns are papers out-going citations. I understand such a binary matrix, >>> can not be used as an adjacency matrix but I am curious if it is possible >>> to work with this type of input. Otherwise, I appreciate to hear your >>> thoughts on converting this matrix into a adjacency matrix. >>> >>> Br >>> Alireza >>> _______________________________________________ >>> graph-tool mailing list >>> [email protected] >>> https://lists.skewed.de/mailman/listinfo/graph-tool >>> >> _______________________________________________ >> graph-tool mailing list >> [email protected] >> https://lists.skewed.de/mailman/listinfo/graph-tool >> > _______________________________________________ > graph-tool mailing list > [email protected] > https://lists.skewed.de/mailman/listinfo/graph-tool >
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