Hi Tiago, I have a short question regarding your implementation of the weighted SBM described here:
https://arxiv.org/pdf/1708.01432.pdf https://graph-tool.skewed.de/static/doc/demos/inference/inference.html#edge-weights-and-covariates Does your implementation fit one distribution to sample edges per block combination or one global distribution? And how to retrieve the parameters of the distribution from a fitted model? We were trying to fit a model similar to the SBM in graspy used for simulation: https://graspy.neurodata.io/tutorials/simulations/sbm.html There you can choose one distribution per block combination for simulation. I was figuring that this should also be possible when fitting the model. Thanks for your help in advance! -- Sent from: http://main-discussion-list-for-the-graph-tool-project.982480.n3.nabble.com/ _______________________________________________ graph-tool mailing list graph-tool@skewed.de https://lists.skewed.de/mailman/listinfo/graph-tool
