code: def forward(self, graph):
      out_graph = self.model(graph)
      return self.fc(out_graph.node_features["node_emb"])
  
imports: import argparse
  import os
  import time
  import dgl
  import networkx
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.nn
  from dgl import DGLGraph
  from dgl.data import load_data, register_data_args
  from ...data.data import GraphData
  from ...modules.graph_embedding_learning.graphsage import GraphSAGE
  from .utils import EarlyStopping
label_desc: Use image node_id 2 for calling the GNNClassifier obj's underlying member method code with example usage: obj.forward(graph) and returns: self