code: def forward(self, x, edges):
      x, edge_index = x, edges
      g = pgl.Graph(num_nodes=x.shape[0], edges=edges)
      x = paddle.nn.functional.relu(self.conv1(g, x))
      x = self.conv2(g, x)
      return x
  
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 2 for calling the PGLGCN obj's underlying member method code with example usage: obj.forward(x, edges) and returns: x