code: def __init__(
      self, in_feats, n_hidden, n_classes, n_layers, activation, dropout
  ):
      super().__init__()
      self.init(
          in_feats, n_hidden, n_classes, n_layers, activation, dropout
      )
  
file_path: dgl/examples/pytorch/labor/model.py
imports: import dgl
  import dgl.nn
  import sklearn.linear_model
  import sklearn.metrics
  import torch
  import torch.functional
  import torch.nn
  import tqdm
label_desc: Use image node_id 1 to create a new SAGE object from inherited base classes: nn with example: obj = SAGE(in_feats, n_hidden, n_classes, n_layers, activation, dropout)