code: def __init__(
      self,
      k=10,
  ):
      super(BernProp, self).__init__()
      self.K = K
      self.temp = self.create_parameter(
          shape=[self.K + 1],
          dtype="float32",
          default_initializer=nn.initializer.Constant(value=1.0),
      )
  
file_path: PGL/examples/bernnet/propagation.py
imports: import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import pgl
  from pgl.nn import functional
  import math
  from scipy.special import comb
label_desc: Use image node_id 1 to create a new BernProp object from inherited base classes: nn with example: obj = BernProp(k)