code: def _conv_op(self, conv_op, x, graph):
      return conv_op(x, graph.edge_index, graph.edge_feature)
  
imports: import argparse
  import copy
  import csv
  import numpy
  import time
  import torch
  import torch.nn
  import torch.nn.functional
  from torch.utils.tensorboard import SummaryWriter
  import networkx
  import numpy
  import sklearn.metrics
  import torch_geometric.transforms
  import torch_geometric.nn
  from torch.utils.data import DataLoader
  from deepsnap.graph import Graph
  from deepsnap.dataset import GraphDataset
  from deepsnap.batch import Batch
label_desc: Use image node_id 3 for calling the Net obj's underlying member method code with example usage: obj._conv_op(conv_op, x, graph) and returns: conv_op