code: def init(self):
      xavier_normal_(self.emb_e.weight.data)
      xavier_normal_(self.emb_rel.weight.data)
  
imports: import torch
  from torch.nn import Parameter
  from torch.nn import functional
  from torch.nn.init import xavier_normal_
  from graph4nlp.pytorch.modules.graph_embedding_learning.gcn import GCN
  from graph4nlp.pytorch.modules.graph_embedding_learning.ggnn import GGNN
  from graph4nlp.pytorch.modules.prediction.classification.kg_completion import ComplEx, DistMult
label_desc: Use image node_id 2 for calling the GGNNDistMult obj's underlying member method code with example usage: obj.init() without return types