code: def __init__(self, embedding_size: int = 128, **kwargs):
      super().__init__()
      self.__str_node_annotation = StrElementRepresentationModel(
          embedding_size=embedding_size - 1, **kwargs
      )
  
imports: import torch
  from torch import nn
  from typing import Any, Dict, Tuple
  from ptgnn.baseneuralmodel import AbstractNeuralModel
  from ptgnn.neuralmodels.embeddings.strelementrepresentationmodel import StrElementRepresentationModel
  from ptgnn.neuralmodels.gnn.structs import AbstractNodeEmbedder
label_desc: Use image node_id 1 to create a new CandidateNodeAnnotationModel object from inherited base classes: AbstractNeuralModel, AbstractNodeEmbedder with example: obj = CandidateNodeAnnotationModel(embedding_size)