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Hi, thanks for your excellent work on graph generation.
I have some problems during the implementation of the baseline method ERGM in your paper. I followed your parameter settings in R, but the simulation results are always bad (such as the explosion of the number of edges).
This is my R code for graph simulation by ERGM: result.network <- simulate( ergm( input.network ~ edges + degcor + degree1.5 + gwesp + density, control=control.ergm( MCMLE.maxit=20, MCMLE.density.guard=100000, parallel=2, parallel.type="PSOCK" )) )
where 'input.network' is the graph to be simulated, and the function 'simulate' is from package 'ergm'.
I wonder how to have the right hyper-parameters to have the best simulation result like your paper's.
The text was updated successfully, but these errors were encountered:
I have tested several datasets and I find that ERGM can successfully simulate molecule graphs. However, simulation cannot converge when generating big graphs (having more than 500 nodes).
Hi, thanks for your excellent work on graph generation.
I have some problems during the implementation of the baseline method ERGM in your paper. I followed your parameter settings in R, but the simulation results are always bad (such as the explosion of the number of edges).
This is my R code for graph simulation by ERGM:
result.network <- simulate( ergm( input.network ~ edges + degcor + degree1.5 + gwesp + density, control=control.ergm( MCMLE.maxit=20, MCMLE.density.guard=100000, parallel=2, parallel.type="PSOCK" )) )
where 'input.network' is the graph to be simulated, and the function 'simulate' is from package 'ergm'.
I wonder how to have the right hyper-parameters to have the best simulation result like your paper's.
The text was updated successfully, but these errors were encountered: