code: def __repr__(self):
      if self.use_bn:
          return "BN" + super(BatchedGraphSAGE, self).__repr__()
      else:
          return super(BatchedGraphSAGE, self).__repr__()
  
file_path: dgl/examples/pytorch/diffpool/model/tensorized_layers/graphsage.py
imports: import torch
  from torch import nn
  from torch.nn import functional
label_desc: Use image node_id 3 for calling the BatchedGraphSAGE obj's underlying member method code with example usage: obj.__repr__() and returns: unknown, super