code: def __getitem__(self, i: int):
      (
          _,
          torch,
          nn,
          dgl,
          GraphDataLoader,
          _,
          F,
          _,
      ) = lazy_embed_import_dep()
      eids = torch.from_numpy(
          np.random.choice(self.eids, self.sample_size)
      )
  
      src, dst = self.g.find_edges(eids)
      rel = self.g.edata[dgl.ETYPE][eids].numpy()
  
      triplets = np.stack((src, rel, dst)).T
      samples, labels = SubgraphIterator._sample_neg(
          triplets,
          self.num_nodes,
      )
  
      src, rel, dst = samples.T  # type: ignore
  
      sub_g = dgl.graph((src, dst), num_nodes=self.num_nodes)
      sub_g.edata[dgl.ETYPE] = rel
      sub_g.edata["norm"] = dgl.norm_by_dst(sub_g).unsqueeze(-1)
  
      return sub_g, samples, labels
  
imports: import logging
  import numpy
  import pandas
  from typing import Optional, Union, Callable, List, TYPE_CHECKING, Any, Tuple
  from .PlotterBase import Plottable
  from .compute.ComputeMixin import ComputeMixin
label_desc: Use image node_id 3 for calling the SubgraphIterator obj's underlying member method code with example usage: obj.__getitem__(i) and returns: sub_g,  samples,  labels