class_docstr: Generates random Erdos-Renyi (ER) graphs.
  See :meth:`~torch_geometric.utils.erdos_renyi_graph` for more information.
  
  Args:
      num_nodes (int): The number of nodes.
      edge_prob (float): Probability of an edge.
code: def __repr__(self) -> str:
      return (
          f"{self.__class__.__name__}(num_nodes={self.num_nodes}, "
          f"edge_prob={self.edge_prob})"
      )
  
imports: from torch_geometric.data import Data
  from torch_geometric.datasets.graph_generator import GraphGenerator
  from torch_geometric.utils import erdos_renyi_graph
label_desc: Use image node_id 3 for calling the ERGraph obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str, self, str