code: def regularization_loss(self, embedding):
      return torch.mean(embedding.pow(2)) + torch.mean(
          self.w_relation.pow(2)
      )
  
imports: import dgl
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import tqdm
  from dgl.data.knowledge_graph import FB15k237Dataset
  from dgl.dataloading import GraphDataLoader
  from dgl.nn.pytorch import RelGraphConv
label_desc: Use image node_id 4 for calling the LinkPredict obj's underlying member method code with example usage: obj.regularization_loss(embedding) and returns: unknown