code: def __init__(self, input_size, num_class, hidden_size=64):
      super(PGLGCN, self).__init__()
      self.conv1 = pgl.nn.GCNConv(input_size, hidden_size)
      self.conv2 = pgl.nn.GCNConv(hidden_size, num_class)
  
file_path: PGL/examples/AITISA/load_model_from_pyg/gcn.py
imports: import pgl
  import paddle
  import torch
  import torch.nn.functional
  from torch_geometric.nn import GCNConv
  import argparse
  import numpy
label_desc: Use image node_id 1 to create a new PGLGCN object from inherited base classes: paddle.nn with example: obj = PGLGCN(input_size, num_class, hidden_size)