def METHOD_NAME():
    data_location = args.dataset_location
    pretrained_model = args.input_graph
    data = dataloader.load_data(prefix=data_location+'/ppi')
    G = data[0]
    features = data[1]
    id_map = data[2]
    class_map  = data[4]
    if isinstance(list(class_map.values())[0], list):
        num_classes = len(list(class_map.values())[0])
    else:
        num_classes = len(set(class_map.values()))
    context_pairs = data[3]
    placeholders = utils.construct_placeholders(num_classes)
    minibatch = utils.NodeMinibatchIterator(G, 
            id_map,
            placeholders, 
            class_map,
            num_classes,
            batch_size=args.batch_size,
            context_pairs = context_pairs)
    return minibatch