code: def call(self, x):
      data, num_vertex, vertex_mask = self._unpack_input(x)
  
      output = self._garnet(
          data,
          num_vertex,
          vertex_mask,
          self._input_feature_transform,
          self._aggregator_distance,
          self._output_feature_transform,
          self._output_activation_transform,
      )
  
      output = self._collapse_output(output)
  
      return output
  
imports: import tensorflow.keras
  from qkeras import QActivation, QDense, ternary
label_desc: Use image node_id 6 for calling the GarNet obj's underlying member method code with example usage: obj.call(x) and returns: output