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.
code: def __init__(self, *args, **kwargs):
      self.__args = args
      self.__kwargs = kwargs
      super(NetLSD, self).__init__()
  
file_path: AutoGL/autogl/module/preprocessing/feature_engineering/_graph/_netlsd.py
imports: import netlsd
  import networkx
  import torch
  import typing
  from autogl.data.graph import GeneralStaticGraph
  from autogl.data.graph.utils import conversion
  from .._feature_engineer import FeatureEngineer
  from ..._data_preprocessor_registry import DataPreprocessorUniversalRegistry
label_desc: Use image node_id 1 to create a new NetLSD object from inherited base classes: FeatureEngineer with example: obj = NetLSD()