class_docstr: Class for node embedding based dynamic graph construction.
class_docstr_tok: ["Class","for","node","embedding","based","dynamic","graph","construction","."]
code: def __init__(self, **kwargs):
      super(NodeEmbeddingBasedGraphConstruction, self).__init__(
          **kwargs
      )
  
file_path: graph4nlp/graph4nlp/pytorch/modules/graph_construction/node_embedding_based_graph_construction.py
imports: import torch
  from nltk.tokenize import word_tokenize
  from ...data.data import GraphData
  from ..utils.generic_utils import normalize_adj
  from ..utils.vocab_utils import Vocab
  from .base import DynamicGraphConstructionBase
  from .utils import convert_adj_to_graph
label_desc: Use image node_id 1 to create a new NodeEmbeddingBasedGraphConstruction object from inherited base classes: DynamicGraphConstructionBase with example: obj = NodeEmbeddingBasedGraphConstruction()