code: def __init__(self):
      super(Net, self).__init__()
      self.conv1 = GCNConv(3, 16)
      self.conv2 = GCNConv(16, 4)
  
imports: import math
  import copy
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  import torch_geometric.transforms
  from torch_geometric.nn import SplineConv
  from torch_geometric.nn import GCNConv
  import sys
  import networkx
  import pdb
  import deepsnap
  from converter import *
  from deepsnap.dataset import GraphDataset
  from deepsnap.batch import Batch
  from torch.utils.data import DataLoader
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: torch.nn with example: obj = Net()