class_docstr: Euclidean attention model that combines reflections and rotations.
code: def get_reflection_queries(self, entity, ref):
      queries = euc_utils.givens_reflection(ref, entity)
      return tf.reshape(queries, (-1, 1, self.rank))
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from kg_hyp_emb.models.base import KGModel
  from kg_hyp_emb.utils import euclidean
  import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling the AttE obj's underlying member method code with example usage: obj.get_reflection_queries(entity, ref) and returns: tf