class_docstr: Notes
  -----
  a graph feature generation method. This is a simple wrapper of NetLSD [#]_.
  
  References
  ----------
  ..  [#] A. Tsitsulin, D. Mottin, P. Karras, A. Bronstein, and E. Müller, “NetLSD: Hearing the shape of a graph,”
      Proc. ACM SIGKDD Int. Conf. Knowl. Discov. Data Min., pp. 2347–2356, 2018.
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code: def __extract(self, nx_g: networkx.Graph) -> torch.Tensor:
      return torch.tensor(
          netlsd.heat(nx_g, *self.__args, **self.__kwargs)
      ).view(-1)
  
file_path: AutoGL/autogl/module/feature/_graph/_netlsd.py
imports: import netlsd
  import networkx
  import torch
  from autogl.data.graph import GeneralStaticGraph
  from autogl.data.graph.utils import conversion
  from .._base_feature_engineer import BaseFeatureEngineer
  from .._feature_engineer_registry import FeatureEngineerUniversalRegistry
label_desc: Use image node_id 2 for calling the NetLSD obj's underlying member method code with example usage: obj.__extract(nx_g) and returns: torch