code: def __init__(self, num_features, num_classes):
      super(GCN, self).__init__()
      self.conv1 = GCNConv(num_features, 16)
      self.conv2 = GCNConv(16, num_classes)
  
imports: import os
  import random
  import numpy
  from tqdm import tqdm
  import pickle
  import torch
  import torch.nn.functional
  from torch_geometric.datasets import Planetoid
  import torch_geometric.transforms
  from torch_geometric.nn import GCNConv, GATConv, SAGEConv
  import logging
label_desc: Use image node_id 1 to create a new GCN object from inherited base classes: torch.nn with example: obj = GCN(num_features, num_classes)