code: def forward(self, graph, feat, eweight=None):
      h = self.in_layer(graph, feat.float(), eweight)
      h = F.relu(h)
      h = self.hid_layer(graph, h, eweight)
      h = F.relu(h)
      h = self.out_layer(graph, h, eweight)
      return h
  
file_path: dgl/examples/pytorch/gnn_explainer/models.py
imports: import dgl.function
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the Model obj's underlying member method code with example usage: obj.forward(graph, feat, eweight) and returns: h