class_docstr: Deprecated version for :class:`GNNExplainer`.
code: def get_initial_prediction(self, *args, **kwargs) -> Tensor:
      training = self.model.training
      self.model.eval()
  
      out = self.model(*args, **kwargs)
      if (
          self._explainer.model_config.mode
          == ModelMode.multiclass_classification
      ):
          out = out.argmax(dim=-1)
  
      self.model.train(training)
  
      return out
  
imports: from math import sqrt
  from typing import Optional, Tuple, Union
  import torch
  from torch import Tensor
  from torch.nn.parameter import Parameter
  from torch_geometric.explain import ExplainerConfig, Explanation, ModelConfig
  from torch_geometric.explain.algorithm import ExplainerAlgorithm
  from torch_geometric.explain.algorithm.utils import clear_masks, set_masks
  from torch_geometric.explain.config import MaskType, ModelMode, ModelTaskLevel
label_desc: Use image node_id 2 for calling the GNNExplainer_ obj's underlying member method code with example usage: obj.get_initial_prediction() and returns: out