class_docstr: A SaliencyMask class that implements the integrated gradients method.
code: def __init__(self, model, generator, node_list):
      self.node_list = list(node_list)
      super().__init__(model, generator)
  
file_path: stellargraph/stellargraph/interpretability/saliency_maps/integrated_gradients_gat.py
imports: import numpy
  from .saliency_gat import GradientSaliencyGAT
  import scipy.sparse
  from tensorflow.keras import backend
label_desc: Use image node_id 1 to create a new IntegratedGradientsGAT object from inherited base classes: GradientSaliencyGAT with example: obj = IntegratedGradientsGAT(model, generator, node_list)