class_docstr: Update the node feature hv with MLP, BN and ReLU.
code: def __init__(self, mlp):
      super(ApplyNodeFunc, self).__init__()
      self.mlp = mlp
      self.bn = torch.nn.BatchNorm1d(self.mlp.output_dim)
  
imports: import dgl
  import torch.nn.functional
  import typing
  from dgl.nn.pytorch.conv import GINConv
  from ..None import base_encoder, encoder_registry
  from ...None import _utils
label_desc: Use image node_id 1 to create a new ApplyNodeFunc object from inherited base classes: torch.nn with example: obj = ApplyNodeFunc(mlp)