code: def __init__(self, nfeat, nnext):
      super().__init__()
      self.assign_mat = BatchedGraphSAGE(nfeat, nnext, use_bn=True)
  
file_path: dgl/examples/pytorch/diffpool/model/tensorized_layers/assignment.py
imports: import torch
  from torch import nn
  from torch.autograd import Variable
  from torch.nn import functional
  from model.tensorized_layers.graphsage import BatchedGraphSAGE
label_desc: Use image node_id 1 to create a new DiffPoolAssignment object from inherited base classes: nn with example: obj = DiffPoolAssignment(nfeat, nnext)