Generative graph models subject to global similarity code base with accompanying thesis
To run netgan: mkdir results python netgan/demo_l16.py 3 walk 1 results 64 40 30 model_best football
To run cut fix generation with matrix from random walk generation as the seed matrix: mkdir results cd graph_cuts python3 graph_cuts_demo.py football ../results/ std_stats.json football_params.json num_walk_algs.json 0
To run spectral generation: see intructions in spectral_generation/README.md