code: def __init__(self, in_feats, hid_feats, out_feats):
      super().__init__()
      _, _, dglnn, _, _, _, _ = lazy_import_networks()
      self.conv1 = dglnn.SAGEConv(
          in_feats=in_feats, out_feats=hid_feats, aggregator_type="mean"
      )
      self.conv2 = dglnn.SAGEConv(
          in_feats=hid_feats,
          out_feats=out_feats,
          aggregator_type="mean",
      )
  
imports: from typing import TYPE_CHECKING, Any
  from .None import constants
  import logging
label_desc: Use image node_id 1 to create a new SAGE object from inherited base classes: Module with example: obj = SAGE(in_feats, hid_feats, out_feats)