code: def forward(self, num_nodes, edges, feature):
      graph = pgl.Graph(num_nodes=num_nodes, edges=edges)
      for fn in self.conv_fn:
          feature = fn(graph, feature)
      output = self.pool_fn(graph, feature)
      return output
  
file_path: PGL/examples/deploy_gnn/convert_to_static.py
imports: import numpy
  import paddle
  import pgl
  import paddle.nn
  import pgl.nn
  from ogb.utils import smiles2graph
  import paddle.static
label_desc: Use image node_id 2 for calling the GNNModel obj's underlying member method code with example usage: obj.forward(num_nodes, edges, feature) and returns: output