def load_graphs_NCI_AIDS():
"""Load the NCI antiHIV graph dataset for graph classification..
Returns
-------
data : Bunch
Dictionary-like object with the following attributes :
'graphs', the graphs in the dataset in Networkx format, 'target', the classification labels for each
sample.
"""
input_target_url = 'http://www.math.unipd.it/~nnavarin/datasets/NCI_AIDS/AIDO99SD_numeric.labels'
input_data_url = 'http://www.math.unipd.it/~nnavarin/datasets/NCI_AIDS/AIDO99SD.gspan'
_target = load_target(input_target_url)
g_it = instance_to_graph(input=input_data_url)
print 'Loaded NCI antiHIV dataset graph dataset for graph classification.'
return Bunch(graphs=[i for i in g_it],
target=_target,
labels=True,
veclabels=False)
def load_graphs_AIDS():
"""Load the AIDS graph dataset for graph classification..
Returns
-------
data : Bunch
Dictionary-like object with the following attributes :
'graphs', the graphs in the dataset in Networkx format, 'target', the classification labels for each
sample.
"""
input_target_url = 'http://www.math.unipd.it/~nnavarin/datasets/AIDS/CAvsCM.y'
input_data_url = 'http://www.math.unipd.it/~nnavarin/datasets/AIDS/CAvsCM.can'
_target = load_target(input_target_url)
from obabel import obabel_to_eden
g_it = obabel_to_eden(input=input_data_url, file_type='smi')
gra = [i for i in g_it]
print 'Loaded AIDS graph dataset for graph classification.'
print len(gra), 'graphs.'
return Bunch(graphs=gra, target=_target, labels=True, veclabels=False)
def load_graphs_bursi():
"""Load the Bursi graph dataset for graph classification..
Returns
-------
data : Bunch
Dictionary-like object with the following attributes :
'graphs', the graphs in the dataset in Networkx format, 'target', the classification labels for each
sample.
"""
input_target_url = 'http://www.bioinf.uni-freiburg.de/~costa/bursi.target'
input_data_url = 'http://www.bioinf.uni-freiburg.de/~costa/bursi.gspan'
_target = load_target(input_target_url)
g_it = instance_to_graph(input=input_data_url)
print 'Loaded Bursi graph dataset for graph classification.'
return Bunch(graphs=[i for i in g_it],
target=_target,
labels=True,
veclabels=False)
def load_graphs_LMdata():
"""Load the LMdata graph dataset for graph classification..
Returns
-------
data : Bunch
Dictionary-like object with the following attributes :
'graphs', the graphs in the dataset in Networkx format, 'target', the classification labels for each
sample.
"""
input_target_url = 'http://www.math.unipd.it/~nnavarin/datasets/LMdata/labels.txt.standardized'
input_data_url = 'http://www.math.unipd.it/~nnavarin/datasets//LMdata/graphs.gspan.standardized'
_target = load_target(input_target_url)
label_dict = {}
counter = [1]
g_it = instance_to_graph(input_data_url, label_dict, counter)
print 'Loaded LMdata graph dataset for graph classification.'
return Bunch(graphs=[i for i in g_it],
label_dict=label_dict,
target=_target,
labels=True,
veclabels=False)
def load_graphs_NCI1():
"""Load the NCI1 graph dataset for graph classification..
Returns
-------
data : Bunch
Dictionary-like object with the following attributes :
'graphs', the graphs in the dataset in Networkx format, 'target', the classification labels for each
sample.
"""
input_target_url = 'http://www.math.unipd.it/~nnavarin/datasets/NCI1/NCI1_labels.txt'
input_data_url = 'http://www.math.unipd.it/~nnavarin/datasets/NCI1/NCI1_graphs.gspan'
_target = load_target(input_target_url)
label_dict = {}
g_it = instance_to_graph(input=input_data_url)
#g_it=instance_to_graph(input = input_data_url,label_dict=label_dict)
print 'Loaded NCI1 graph dataset for graph classification.'
return Bunch(
graphs=[i for i in g_it],
target=_target,
#label_dict=label_dict,
labels=True,
veclabels=False)
