code: def __init__(self, in_channels, out_channels):
      super().__init__()
      self.conv1 = GCNConv(in_channels, 2 * out_channels)
      self.conv_mu = GCNConv(2 * out_channels, out_channels)
      self.conv_logstd = GCNConv(2 * out_channels, out_channels)
  
imports: import argparse
  import os.path
  import time
  import torch
  import torch_geometric.transforms
  from torch_geometric.datasets import Planetoid
  from torch_geometric.nn import GAE, VGAE, GCNConv
label_desc: Use image node_id 1 to create a new VariationalGCNEncoder object from inherited base classes: torch.nn with example: obj = VariationalGCNEncoder(in_channels, out_channels)