code: def forward(self, graph, x, h, c):
      x = self.breadth_func(graph, x)
      x = th.tanh(x)
      x = th.mean(x, dim=1)
      x, (h, c) = self.depth_func(x.unsqueeze(0), (h, c))
      x = x[0]
      return x, (h, c)
  
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 GeniePathConv obj's underlying member method code with example usage: obj.forward(graph, x, h, c) and returns: x,  h,  c