code: def forward(self, graph, x):
      h = self.dropout(x)
      for l, layer in enumerate(self.layers):
          h = layer(graph, h)
          if l != len(self.layers) - 1:
              h = F.relu(h)
              h = self.dropout(h)
      return h
  
file_path: dgl/examples/pytorch/graphsage/train_full.py
imports: import argparse
  import dgl
  import dgl.nn
  import torch
  import torch.nn
  import torch.nn.functional
  from dgl import AddSelfLoop
  from dgl.data import CiteseerGraphDataset, CoraGraphDataset, PubmedGraphDataset
label_desc: Use image node_id 2 for calling the SAGE obj's underlying member method code with example usage: obj.forward(graph, x) and returns: h