class_docstr: Class to read benchmark datasets for the graph level embedding task.
  
  Args:
      dataset (str): Dataset of interest one of reddit10k. Default is 'reddit10k'.
class_docstr_tok: ["Class","to","read","benchmark","datasets","for","the","graph","level","embedding","task",".","Args",":","dataset","(","str",")",":","Dataset","of","interest","one","of","reddit10k",".","Default","is","'reddit10k","'","."]
docstr: Getting the graphs.
  
  Return types:
      * **graphs** *(List of NetworkX graphs)* - Graphs of interest.
docstr_tok: ["Getting","the","graphs",".","Return","types",":","*","*","*","graphs","*","*","*","(","List","of","NetworkX","graphs",")","*","-","Graphs","of","interest","."]
code: def get_graphs(self) -> List[nx.classes.graph.Graph]:
      r"""Getting the graphs.
  
      Return types:
          * **graphs** *(List of NetworkX graphs)* - Graphs of interest.
      """
      graphs = self._dataset_reader("graphs.json")
      graphs = json.loads(graphs.decode())
      graphs = [
          nx.from_edgelist(graphs[str(i)]) for i in range(len(graphs))
      ]
      return graphs
  
imports: import io
  import os
  import json
  import numpy
  import pandas
  import networkx
  from typing import List
  from six.moves import urllib
  from scipy.sparse import coo_matrix
label_desc: Use image node_id 4 for calling the GraphSetReader obj's underlying member method code with example usage: obj.get_graphs() and returns: graphs