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The click decomposition has high complexity if the graph is dense and has a high number of cliques. So to reduce the memory consumption you can disable the clique decomposition or set a high threshold.
Thank you for your reply. The data I use is the HumanNet_CF and HumanNet_PI you provided. I wonder if you keep the kernel_matrices generated by these two networks. I really need it.
I'm sorry to disturb your vacation. When I set the clique thresholds to 50, it can run successfully, but the results on my Alzheimer's disease data set are not very good, AUC is only 0.69. Will setting clique thresholds too large cause model degradation?
RT
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