#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()