'ResistancePerturbation', 'NetLSD', 'LaplacianSpectralGJS',
'LaplacianSpectralEUL', 'IpsenMikhailov', 'NonBacktrackingSpectral',
'DistributionalNBD', 'DMeasure', 'DeltaCon', 'NetSimile'
]
all_distance_functions = [
JaccardDistance().dist,
Hamming().dist,
HammingIpsenMikhailov().dist,
Frobenius().dist,
PolynomialDissimilarity().dist,
DegreeDivergence().dist,
PortraitDivergence().dist,
QuantumJSD().dist,
CommunicabilityJSD().dist,
GraphDiffusion().dist,
ResistancePerturbation().dist,
NetLSD().dist, NJ, LE,
IpsenMikhailov().dist,
NonBacktrackingSpectral().dist,
DistributionalNBD().dist,
DMeasure().dist,
DeltaCon().dist,
NetSimile().dist
]
all_distances = dict(zip(all_distance_function_names, all_distance_functions))
df_out = pd.DataFrame(columns=[
'ensemble', 'n', 'k', 'param_label', 'param_value', 'distance_label', 'd'
])
all_distance_function_names = ['Jaccard', 'Hamming', 'HammingIpsenMikhailov',
'Frobenius', 'PolynomialDissimilarity',
'DegreeDivergence', 'PortraitDivergence',
'QuantumJSD', 'CommunicabilityJSD',
'GraphDiffusion', 'ResistancePerturbation',
'NetLSD', 'LaplacianSpectralGJS',
'LaplacianSpectralEUL', 'IpsenMikhailov',
'NonBacktrackingSpectral', 'DistributionalNBD',
'DMeasure', 'DeltaCon', 'NetSimile']
all_distance_functions = [JaccardDistance().dist, Hamming().dist,
HammingIpsenMikhailov().dist, Frobenius().dist,
PolynomialDissimilarity().dist,
DegreeDivergence().dist, PortraitDivergence().dist,
QuantumJSD().dist, CommunicabilityJSD().dist,
GraphDiffusion().dist, ResistancePerturbation().dist,
NetLSD().dist, NJ, LE, IpsenMikhailov().dist,
NonBacktrackingSpectral().dist,
DistributionalNBD().dist, DMeasure().dist,
DeltaCon().dist, NetSimile().dist]
all_distances = dict(zip(all_distance_function_names, all_distance_functions))
df_out = pd.DataFrame(columns=['ensemble', 'n', 'k', 'param_label',
'param_value', 'distance_label', 'd'])
ensemble = str(sys.argv[1])
n = int(sys.argv[2])
ntimes = int(sys.argv[3])
ensemble = 'gnk'