class_docstr: Generates random Barabasi-Albert (BA) graphs.
  See :meth:`~torch_geometric.utils.barabasi_albert_graph` for more
  information.
  
  Args:
      num_nodes (int): The number of nodes.
      num_edges (int): The number of edges from a new node to existing nodes.
code: def __init__(self, num_nodes: int, num_edges: int):
      super().__init__()
      self.num_nodes = num_nodes
      self.num_edges = num_edges
  
imports: from torch_geometric.data import Data
  from torch_geometric.datasets.graph_generator import GraphGenerator
  from torch_geometric.utils import barabasi_albert_graph
label_desc: Use image node_id 1 to create a new BAGraph object from inherited base classes: GraphGenerator with example: obj = BAGraph(num_nodes, num_edges)