code: def forward(self, batched_graph):
      batched_graph = self.gnn(batched_graph)
      batched_graph = self.clf(batched_graph)
      logits = batched_graph.graph_attributes["logits"]
  
      return logits
  
file_path: graph4nlp/graph4nlp/pytorch/test/graph_classification/run_graph_classification.py
imports: import argparse
  import dgl
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.optim
  from dgl.data import MiniGCDataset
  from torch.utils.data import DataLoader
  from ...data.data import from_dgl, to_batch
  from ...modules.graph_embedding_learning.gat import GAT
  from ...modules.prediction.classification.graph_classification import FeedForwardNN
label_desc: Use image node_id 2 for calling the GNNClassifier obj's underlying member method code with example usage: obj.forward(batched_graph) and returns: logits