code: def cls_encode(self, data) -> torch.Tensor:
      return self(data)
  
imports: import torch
  import torch.nn.functional
  from typing import Sequence, Optional, Union, Tuple
  from numbers import Real
  from dgl.nn.pytorch.conv import GraphConv
  from dgl import remove_self_loop, add_self_loop
  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 3 for calling the GCN obj's underlying member method code with example usage: obj.cls_encode(data) and returns: self