code: def forward(self, g, x, edge_weight=None):
      x = self.conv(g, x, edge_weight)
      if self.num_layers == 2:
          x = F.relu(x)
          x = self.fc(x)
      x = F.relu(x)
      x = self.fc2(x)
      return x
  
file_path: dgl/examples/pytorch/ogb/ngnn_seal/models.py
imports: import math
  import torch
  import torch.nn.functional
  from dgl.nn import GraphConv, SortPooling
  from torch.nn import Conv1d, Embedding, Linear, MaxPool1d, ModuleList
label_desc: Use image node_id 3 for calling the NGNN_GCNConv obj's underlying member method code with example usage: obj.forward(g, x, edge_weight) and returns: x