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. CoRR abs/2006.04330 (2020)
      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",".","CoRR","abs\/2006.04330","(","2020",")","https",":","\/\/arxiv.org\/abs\/2006.04330","Parameters","--","--","--","--","--","size",":","int","EigenGNN","hidden","size"]
code: def __init__(self, size=32):
      super(GeEigen, self).__init__()
      self.size = size
  
file_path: AutoGL/autogl/module/_feature/generators/eigen.py
imports: from scipy.sparse import csr_matrix
  import scipy.sparse
  import networkx
  from .base import BaseGenerator
  import numpy
  from ..None import register_feature
label_desc: Use image node_id 1 to create a new GeEigen object from inherited base classes: BaseGenerator with example: obj = GeEigen(size)