code: def __init__(self, in_feats, h_feats):
      super(GraphSAGE, self).__init__()
      self.conv1 = SAGEConv(in_feats, h_feats, "mean")
      self.conv2 = SAGEConv(h_feats, h_feats, "mean")
  
imports: import itertools
  import os
  import dgl
  import dgl.data
  import numpy
  import scipy.sparse
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl.nn import SAGEConv
  import dgl.function
  from sklearn.metrics import roc_auc_score
label_desc: Use image node_id 1 to create a new GraphSAGE object from inherited base classes: nn with example: obj = GraphSAGE(in_feats, h_feats)