Hello, I’m using SF’s GBS sampling function to sample a series of small graphs I have and then using sf.apps.similarity.feature_vector_events_sampling to create vectors from the samples.
On page five of “Measuring the similarity of graphs with a Gaussian Boson Sampler” https://arxiv.org/pdf/1905.12646.pdf there is a guide on choosing the number of samples you want to find. This is going to hugely affect runtime.
It says the sample number is not affected by the size of graphs, just your choice of k. Is there any guidance on choosing k though? Is there a good rule-of-thumb to have in this scenario?