code: def forward(self, graph, x):
      h = th.zeros(1, x.shape[0], self.hid_dim).to(x.device)
      c = th.zeros(1, x.shape[0], self.hid_dim).to(x.device)
  
      x = self.linear1(x)
      for layer in self.layers:
          x, (h, c) = layer(graph, x, h, c)
      x = self.linear2(x)
  
      return x
  
file_path: dgl/examples/pytorch/geniepath/model.py
imports: import torch
  import torch.nn
  from dgl.nn import GATConv
  from torch.nn import LSTM
label_desc: Use image node_id 2 for calling the GeniePath obj's underlying member method code with example usage: obj.forward(graph, x) and returns: x