from graph import Graph
from args import parse_args
from pre_train import PreTraining
from interactive import Interactive
def train(walk=False, struc=False, link=False, attr=False, walk_struc=False, classes=False):
pre_train = PreTraining(graph, args)
pre_train.structure_proximity(trained=struc)
pre_train.deep_walk(trained=walk, num_walks=100, walk_length=10, workers=13)
pre_train.link_proximity(trained=link)
pre_train.attributes_proximity(trained=attr)
pre_train.walk_proximity(trained=walk_struc, num_walks=100, walk_length=5, workers=13)
pre_train.classes_proximity(trained=classes)
if __name__ == '__main__':
args = parse_args()
classes_path = args.classes_input
edges_path = args.edges_list
graph = Graph(test=0.5)
# graph.load_edgelist(edges_path)
train(walk=True, struc=True, link=False, attr=True, walk_struc=True, classes=True)
# train(walk=True, struc=True, link=True, attr=True, walk_struc=True, classes=True)
interactive = Interactive(graph, args)
interactive.train(task='link')
