code: def _conv_op(self, conv, x, graph):
      if self.model == "GCN":
          return conv(x, graph.edge_index)
      elif self.model == "Spline":
          return conv(x, graph.edge_index, graph.edge_feature)
  
imports: import copy
  import argparse
  import torch
  import torch.nn.functional
  import torch_geometric.nn
  import torch_geometric.transforms
  from sklearn.metrics import *
  from torch.utils.data import DataLoader
  from torch_geometric.datasets import Planetoid
  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, x, graph) and returns: conv, conv