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):
      super(SgNetLSD, self).__init__(data_t="nx")
      self._args = args
      self._kwargs = kwargs
  
file_path: AutoGL/autogl/module/_feature/graph/netlsd.py
imports: import netlsd
  from .base import BaseGraph
  import numpy
  import torch
  from ..None import register_feature
label_desc: Use image node_id 1 to create a new SgNetLSD object from inherited base classes: BaseGraph with example: obj = SgNetLSD()