code: def forward(self, x, edge_index):
      x = F.elu(self.conv1(x, edge_index) + self.lin1(x))
      x = F.elu(self.conv2(x, edge_index) + self.lin2(x))
      x = self.conv3(x, edge_index) + self.lin3(x)
      return x
  
file_path: pytorch_geometric/examples/ppi.py
imports: import os.path
  import time
  import torch
  import torch.nn.functional
  from sklearn.metrics import f1_score
  from torch_geometric.datasets import PPI
  from torch_geometric.loader import DataLoader
  from torch_geometric.nn import GATConv
label_desc: Use image node_id 2 for calling the Net obj's underlying member method code with example usage: obj.forward(x, edge_index) and returns: x