code: def __init__(self, in_size, hid_size, out_size):
      super().__init__()
      self.layers = nn.ModuleList()
      # Three-layer GraphSAGE-gcn.
      self.layers.append(SAGEConv(in_size, hid_size))
      self.layers.append(SAGEConv(hid_size, hid_size))
      self.layers.append(SAGEConv(hid_size, out_size))
      self.dropout = nn.Dropout(0.5)
      self.hid_size = hid_size
      self.out_size = out_size
  
imports: import argparse
  from functools import partial
  import dgl.graphbolt
  import dgl.sparse
  import torch
  import torch.nn
  import torch.nn.functional
  import torchmetrics.functional
  from dgl.graphbolt.subgraph_sampler import SubgraphSampler
  from torch.utils.data import functional_datapipe
label_desc: Use image node_id 1 to create a new SAGE object from inherited base classes: nn with example: obj = SAGE(in_size, hid_size, out_size)