code: def getLap(self):
      degree_mat = np.diagflat(np.sum(self.adj_mat, axis=1))
      deg_trans = np.diagflat(
          np.reciprocal(np.sqrt(np.sum(self.adj_mat, axis=1)))
      )
      deg_trans = np.nan_to_num(deg_trans)
      L = degree_mat - self.adj_mat
  
      # eye = np.eye(self.node_size)
      norm_lap_mat = np.matmul(np.matmul(deg_trans, L), deg_trans)
      return norm_lap_mat
  
file_path: OpenNE/src/openne/lap.py
imports: import numpy
  import networkx
label_desc: Use image node_id 3 for calling the LaplacianEigenmaps obj's underlying member method code with example usage: obj.getLap() and returns: norm_lap_mat