code: def forward(self, data):
      return self.cls_decode(self.cls_encode(data))
  
imports: import torch
  import torch.nn.functional
  import typing
  from torch_geometric.nn.conv import GCNConv
  import autogl.data
  from .None import register_model
  from .base import BaseAutoModel, activate_func, ClassificationSupportedSequentialModel
  from ....utils import get_logger
label_desc: Use image node_id 4 for calling the GCN obj's underlying member method code with example usage: obj.forward(data) and returns: self