code: def __init__(self):
      super().__init__()
      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.py
imports: import numpy
  import tensorflow
  from tensorflow.keras import Model
  from tensorflow.keras.layers import Dense
  from tensorflow.keras.losses import MeanSquaredError
  from tensorflow.keras.optimizers import Adam
  from spektral.data import DisjointLoader
  from spektral.datasets import QM9
  from spektral.layers import ECCConv, GlobalSumPool
label_desc: Use image node_id 1 to create a new Net object from inherited base classes: Model with example: obj = Net()