class_docstr:     Information Extraction based graph construction class
  
  Parameters
  ----------
  embedding_style: dict
      Specify embedding styles including ``single_token_item``,
      ``emb_strategy``, ``num_rnn_layers``, ``bert_model_name``
      and ``bert_lower_case``.
  vocab: VocabModel
      Vocabulary including all words appeared in graphs.
class_docstr_tok: ["Information","Extraction","based","graph","construction","class","Parameters","--","--","--","--","--","embedding_style",":","dict","Specify","embedding","styles","including","``","single_token_item","``",",","``","emb_strategy","``",",","``","num_rnn_layers","``",",","``","bert_model_name","``","and","``","bert_lower_case","``",".","vocab",":","VocabModel","Vocabulary","including","all","words","appeared","in","graphs","."]
code: def forward(self, batch_graphdata: list):
      raise RuntimeError("This interface is removed.")
  
file_path: graph4nlp/graph4nlp/pytorch/modules/graph_construction/ie_graph_construction.py
imports: import json
  from ...data.data import GraphData
  from .base import StaticGraphConstructionBase
label_desc: Use image node_id 7 for calling the IEBasedGraphConstruction obj's underlying member method code with example usage: obj.forward(batch_graphdata) without return types