code: def get_graph_construction_args(graph_construction_name):
      """
          It will build the template for ``GraphConstructionBase`` model.
      Parameters
      ----------
      graph_construction_name: str
          The graph construction method name. Expected in ["dependency", "constituency", "ie", \
              "node_emb", "node_emb_refined"].
          If it can't find the ``graph_construction_name``, it will return ``{}``.
      Returns
      -------
      template_dict: dict
          The template dict.
          The structure is shown as follows:
          {
              graph_construction_share: {graph_type: 'constituency', root_dir: null, ...},
              graph_construction_private: {merge_strategy: 'tailhead', sequential_link: True},
              node_embedding: {
                                  input_size: 300,
                                  ...,
                                  embedding_style: {single_token_item: True, ...}
                              }
          }
          The ``graph_construction_share`` contains the parameters shared by all \
              ``GraphConstructionBase`` models.
          The ``graph_construction_private`` contains the parameters specifically \
              in each graph_construction methods.
          The ``node_embedding`` contains all the parameters for node embedding.
              Specifically, it contains ``embedding_style`` which for embedding style.
      """
      if graph_construction_name in str2yaml.keys():
          yaml_name = str2yaml[graph_construction_name]
          path = os.path.join(dir_path, yaml_name)
          config = get_yaml_config(path)
          return config
      else:
          return {}
  
label_desc: Use image node_id 1 for calling a global function with example usage: get_graph_construction_args(graph_construction_name) and returns: config, dict