class_docstr: concat Eigen features
  
  Notes
  -----
  An implementation of [#]_
  
  References
  ----------
  .. [#] Ziwei Zhang, Peng Cui, Jian Pei, Xin Wang, Wenwu Zhu:
      Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs. TKDE (2021)
      https://arxiv.org/abs/2006.04330
  
  
  Parameters
  ----------
  size : int
      EigenGNN hidden size
class_docstr_tok: ["concat","Eigen","features","Notes","--","--","-","An","implementation","of","[","#","]","_","References","--","--","--","--","--","..","[","#","]","Ziwei","Zhang",",","Peng","Cui",",","Jian","Pei",",","Xin","Wang",",","Wenwu","Zhu",":","Eigen-GNN",":","A","Graph","Structure","Preserving","Plug-in","for","GNNs",".","TKDE","(","2021",")","https",":","\/\/arxiv.org\/abs\/2006.04330","Parameters","--","--","--","--","--","size",":","int","EigenGNN","hidden","size"]
code: def __init__(self, size: int = 32):
      super(EigenFeatureGenerator, self).__init__()
      self.__size: int = size
  
file_path: AutoGL/autogl/module/feature/_generators/_eigen.py
imports: import autogl
  import numpy
  from scipy.sparse import csr_matrix
  import scipy.sparse
  import scipy.sparse.linalg
  import networkx
  import torch
  from ._basic import BaseFeatureGenerator
  from .._feature_engineer_registry import FeatureEngineerUniversalRegistry
label_desc: Use image node_id 1 to create a new EigenFeatureGenerator object from inherited base classes: BaseFeatureGenerator with example: obj = EigenFeatureGenerator(size)