def learn_model(args):
"""
Method to create adjacency matrix powers, read features, and learn embedding.
:param args: Arguments object.
"""
A = read_graph(args.edge_path, args.order)
X = read_features(args.feature_path)
model = FSCNMF(A, X, args)
model.optimize()
model.save_embedding()
def learn_model(args):
"""
Method to create adjacency matrix powers, read features, and learn embedding.
:param args: Arguments object.
"""
X = read_graph(args.edge_path, args.order)
if args.features == "dense":
T = read_features(args.feature_path)
elif args.features == "sparse":
T = read_sparse_features(args.feature_path)
model = TENE(X, T, args)
model.optimize()
model.save_embedding()