Hello.

As I understand, edge multiplicities is kind of number of edges between two

nodes.

And we can define it via 'eweight' attribute in BlockState. In some way

(may be I'm wrong)

if I differentiate initial edges by assigning to them different 'weights'

via 'eweight', I

will have also weighted graph model.

What is the difference between edge covariates and edge multiplicities

besides the generative model priors? Or I can consider them as a special

simple case

of more general 'edge covariates' of 'recs' attribute?

Is there any discussion about this?

Thank you.

Valeriy

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