code: def __init__(self, in_size, hidden_size, out_size):
      super(GraphSAGE, self).__init__()
      self.layers = torch.nn.ModuleList()
      self.layers.append(SAGEConv(in_size, hidden_size))
      self.layers.append(SAGEConv(hidden_size, hidden_size))
      self.layers.append(SAGEConv(hidden_size, out_size))
  
file_path: dgl/examples/sampling/pyg/node_classification.py
imports: import argparse
  import dgl.graphbolt
  import torch
  import torch.nn.functional
  import torchmetrics.functional
  from torch_geometric.nn import SAGEConv
label_desc: Use image node_id 1 to create a new GraphSAGE object from inherited base classes: torch.nn with example: obj = GraphSAGE(in_size, hidden_size, out_size)