code: def __init__(
      self,
      model: nn.Module,
      epochs: int = 0,
      lr: float = 0,
      explain_graph: bool = False,
      molecule: bool = False,
  ):
      super().__init__(model, epochs, lr, explain_graph, molecule)
  
imports: from typing import List, Tuple, Dict
  from math import sqrt
  import torch
  from torch import Tensor
  import torch.nn
  import matplotlib.pyplot
  import networkx
  from torch_geometric.nn import MessagePassing
  from torch_geometric.utils.loop import add_self_loops, remove_self_loops
  from torch_geometric.data import Data, Batch
  from torch_geometric.utils import to_networkx
  from ..models.utils import subgraph
  from rdkit import Chem
  from matplotlib.axes import Axes
  import numpy
  from ..models import GNNPool
label_desc: Use image node_id 1 to create a new WalkBase object from inherited base classes: ExplainerBase with example: obj = WalkBase(model, epochs, lr, explain_graph, molecule)