code: def get_embedding(self, graph, diff_graph, feat, edge_weight):
      h1 = self.encoder1(graph, feat)
      h2 = self.encoder2(diff_graph, feat, edge_weight=edge_weight)
  
      return (h1 + h2).detach()
  
file_path: dgl/examples/pytorch/mvgrl/node/model.py
imports: import torch
  import torch.nn
  from dgl.nn.pytorch import GraphConv
  from dgl.nn.pytorch.glob import AvgPooling
label_desc: Use image node_id 2 for calling the MVGRL obj's underlying member method code with example usage: obj.get_embedding(graph, diff_graph, feat, edge_weight) and returns: unknown