code: def __init__(self, out_feats, activation=None, bias=True):
      super(NodeUpdate, self).__init__()
      with self.name_scope():
          if bias:
              self.bias = self.params.get(
                  "bias", shape=(out_feats,), init=mx.init.Zero()
              )
          else:
              self.bias = None
      self.activation = activation
  
file_path: dgl/examples/mxnet/gcn/gcn_mp.py
imports: import mxnet
  from mxnet import gluon
label_desc: Use image node_id 1 to create a new NodeUpdate object from inherited base classes: gluon with example: obj = NodeUpdate(out_feats, activation, bias)