code: def forward(self, graph):
      out_graph = self.model(graph)
      out_graph_ = self.classifier(out_graph)
      return out_graph_.node_features["logits"]
  
file_path: graph4nlp/graph4nlp/pytorch/test/node_classification/node_classification_test.py
imports: import argparse
  import time
  import networkx
  import numpy
  import torch
  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 ...modules.prediction.classification.node_classification.BiLSTMFeedForwardNN import BiLSTMFeedForwardNN
label_desc: Use image node_id 2 for calling the GCN obj's underlying member method code with example usage: obj.forward(graph) and returns: out_graph_