#name=str(sys.argv[4])
kernel = sys.argv[4]
n_hidden = map(int, sys.argv[5].split())
#n_hidden=int(sys.argv[6])
#FIXED PARAMETERS
normalization = True
if dataset == "CAS":
print "Loading bursi(CAS) dataset"
g_it = load_graph_datasets.load_graphs_bursi()
elif dataset == "GDD":
print "Loading GDD dataset"
g_it = load_graph_datasets.load_graphs_GDD()
elif dataset == "CPDB":
print "Loading CPDB dataset"
g_it = load_graph_datasets.load_graphs_CPDB()
elif dataset == "AIDS":
print "Loading AIDS dataset"
g_it = load_graph_datasets.load_graphs_AIDS()
elif dataset == "NCI1":
print "Loading NCI1 dataset"
g_it = load_graph_datasets.load_graphs_NCI1()
elif dataset == "NCI109":
print "Loading NCI109 dataset"
g_it = load_graph_datasets.load_graphs_NCI109()
elif dataset == "NCI123":
print "Loading NCI123 dataset"
g_it = load_graph_datasets.load_graphs_NCI123()
from skgraph.datasets import load_graph_datasets load_graph_datasets.load_graphs_GDD() load_graph_datasets.load_graphs_MUTAG() load_graph_datasets.load_graphs_CPDB() load_graph_datasets.load_graphs_AIDS() load_graph_datasets.load_graphs_NCI1() load_graph_datasets.load_graphs_bursi() load_graph_datasets.load_graphs_enzymes() load_graph_datasets.load_graphs_proteins() load_graph_datasets.load_graphs_synthetic()