code: def __init__(self):
      super().__init__()
      self.masking = GraphMasking()
      self.conv1 = ECCConv(32, activation="relu")
      self.conv2 = ECCConv(32, activation="relu")
      self.global_pool = GlobalSumPool()
      self.dense = Dense(n_out)
  
file_path: spektral/examples/graph_prediction/qm9_ecc_batch.py
imports: import numpy
  from tensorflow.keras.layers import Dense
  from tensorflow.keras.models import Model
  from tensorflow.keras.optimizers import Adam
  from spektral.data import BatchLoader
  from spektral.datasets import QM9
  from spektral.layers import ECCConv, GlobalSumPool, GraphMasking
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: Model with example: obj = Net()