code: def main(argv=None):
      print("Loading training data..")
      train_data = load_data(FLAGS.train_prefix)
      print("Done loading training data..")
      train(train_data)
  
file_path: GraphSAGE/graphsage/supervised_train.py
imports: from __future__ import division
  from __future__ import print_function
  import os
  import time
  import tensorflow
  import numpy
  import sklearn
  from sklearn import metrics
  from graphsage.supervised_models import SupervisedGraphsage
  from graphsage.models import SAGEInfo
  from graphsage.minibatch import NodeMinibatchIterator
  from graphsage.neigh_samplers import UniformNeighborSampler
  from graphsage.utils import load_data
label_desc: Use image node_id 7 for calling a global function with example usage: main(argv) without return types