class_docstr: Weighted L2 node features
code: def _embed(self, edge: tuple):
      return (self.kv[edge[0]] - self.kv[edge[1]]) ** 2
  
imports: from abc import ABC, abstractmethod
  from functools import reduce
  from itertools import combinations_with_replacement
  import numpy
  import pkg_resources
  from gensim.models import KeyedVectors
  from tqdm import tqdm
label_desc: Use image node_id 1 for calling the WeightedL2Embedder obj's underlying member method code with example usage: obj._embed(edge) and returns: unknown