class_docstr: generate local graphlet numbers as features. The implementation refers to [#]_ .
  
  References
  ----------
  .. [#] Ahmed, N. K., Willke, T. L., & Rossi, R. A. (2016).
      Estimation of local subgraph counts. Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016, 586–595.
      https://doi.org/10.1109/BigData.2016.7840651
class_docstr_tok: ["generate","local","graphlet","numbers","as","features",".","The","implementation","refers","to","[","#","]","_",".","References","--","--","--","--","--","..","[","#","]","Ahmed",",","N.","K.",",","Willke",",","T.","L.",",","&","Rossi",",","R.","A",".","(","2016",")",".","Estimation","of","local","subgraph","counts",".","Proceedings","-","2016","IEEE","International","Conference","on","Big","Data",",","Big","Data","2016",",","586\u2013595",".","https",":","\/\/doi.org\/10.1109\/BigData.2016.7840651"]
code: def __init__(self, workers=1):
      super(GeGraphlet, self).__init__()
      self.workers = workers
  
file_path: AutoGL/autogl/module/_feature/generators/graphlet.py
imports: import numpy
  import copy
  from .base import BaseGenerator
  from tqdm import tqdm
  from ....utils import get_logger
  from ..None import register_feature
label_desc: Use image node_id 1 to create a new GeGraphlet object from inherited base classes: BaseGenerator with example: obj = GeGraphlet(workers)