script_rq1_1.py

Get 5*5*5*10 networks: train a total of 1250 networks. A total of three factors: task[2,4,6,8,10] dataset[10,25,50,75,100] depth [14,44,86,110,152] 10 seeds

script_rq1_2.py + script_rq1_3.py

Get the similarity matrix of 5*5*5*10 networks.

script_rq1_4.py

Get modular results for each network.

modularity_analysis.py

Analysis the modularity metrics and save the results to the ans.pkl file.