def init(self): self.graphs = [] datadir = '{}/LINUX/{}'.format( get_data_path(), get_train_str(self.train)) self.graphs = iterate_get_graphs(datadir) print('Loaded {} graphs from {}'.format(len(self.graphs), datadir)) self.graphs, self.glabels = add_glabel_to_each_graph(self.graphs, '', True) assert (self.glabels is None) # fake graph labels
def get_proc_graphs(datadir, train): if logging_enabled == True: print("- Entered data::get_proc_graphs Global Method") datadir = '{}\\{}\\{}'.format( get_data_path(), datadir, get_train_str(train)) graphs = iterate_get_graphs(datadir) print('info: Loaded {} graphs from {}'.format(len(graphs), datadir)) return graphs
def init(self): self.graphs = [] datadir = '{}/{}/{}'.format(get_data_path(), self.get_folder_name(), get_train_str(self.train)) self.graphs = iterate_get_graphs(datadir) print('Loaded {} graphs from {}'.format(len(self.graphs), datadir)) if 'nef' in self.get_folder_name(): print('Removing edge features') for g in self.graphs: self._remove_valence(g)
def init(self): self.graphs = [] datadir = '{}/{}/{}'.format( get_data_path(), self.get_folder_name(), get_train_str(self.train)) self.graphs = iterate_get_graphs(datadir) print('Loaded {} graphs from {}'.format(len(self.graphs), datadir)) if 'nef' in self.get_folder_name(): print('Removing edge features') for g in self.graphs: self._remove_valence(g) self.graphs, self.glabels = add_glabel_to_each_graph(self.graphs, '', True) assert (self.glabels is None) # fake graph labels
def __init__(self, train): self.train = train super(AIDSData, self).__init__(get_train_str(train))
def __init__(self, train): if train: self.num_graphs = SynData.train_num_graphs else: self.num_graphs = SynData.test_num_graphs super(SynData, self).__init__(get_train_str(train))
def get_proc_graphs(datadir, train): datadir = '{}/{}/{}'.format( get_data_path(), datadir, get_train_str(train)) graphs = iterate_get_graphs(datadir) print('Loaded {} graphs from {}'.format(len(graphs), datadir)) return graphs
def __init__(self, train): self.train = train super(IMDBMulti800Data, self).__init__(get_train_str(train))
def init(self): self.graphs = [] datadir = '{}/IMDB1k{}/{}'.format( get_data_path(), self._identity(), get_train_str(self.train)) self.graphs = iterate_get_graphs(datadir) print('Loaded {} graphs from {}'.format(len(self.graphs), datadir))
def __init__(self, train): self.train = train super().__init__(get_train_str(train))
def __init__(self, train): self.train = train super(WebEasyData, self).__init__(get_train_str(train))
def __init__(self, train): self.train = train super(Reddit10kData, self).__init__(get_train_str(train))
def __init__(self, train): self.train = train super(ProjectData, self).__init__(get_train_str(train))
def __init__(self, train): self.train = train super(LINUX_IMDBMultiData, self).__init__(get_train_str(train))