code: def forward(self, x, edges):
      x, edge_index = x, edges.T
      x = F.relu(self.conv1(x, edge_index))
      x = self.conv2(x, edge_index)
      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 3 for calling the PyGGCN obj's underlying member method code with example usage: obj.forward(x, edges) and returns: x