code: def __init__(self, in_dim, hidden_dim, n_classes, rel_names):
      super().__init__()
      nn, _, _, _, _, _, _ = lazy_import_networks()
      self.rgcn = RGCN(in_dim, hidden_dim, hidden_dim, rel_names)
      self.classify = nn.Linear(hidden_dim, n_classes)
  
imports: from typing import TYPE_CHECKING, Any
  from .None import constants
  import logging
label_desc: Use image node_id 1 to create a new HeteroClassifier object from inherited base classes: Module with example: obj = HeteroClassifier(in_dim, hidden_dim, n_classes, rel_names)