code: def forward(self, graph_data: GraphData):
      return self.embedding_layer(graph_data)
  
imports: from abc import abstractmethod
  import torch.nn
  from graph4nlp.pytorch.data.data import GraphData
  from graph4nlp.pytorch.modules.graph_embedding_initialization.embedding_construction import EmbeddingConstruction
label_desc: Use image node_id 2 for calling the GraphEmbeddingInitialization obj's underlying member method code with example usage: obj.forward(graph_data) and returns: self