code: def normalized_laplacian(adj, symmetric=True):
      """
      Normalize graph Laplacian.
  
      Args:
          adj: adjacency matrix
          symmetric: True if symmetric normalization
  
      Returns:
          Return a normalized graph Laplacian matrix.
      """
  
      adj_normalized = normalize_adj(adj, symmetric)
      laplacian = sp.eye(adj.shape[0]) - adj_normalized
      return laplacian
  
file_path: stellargraph/stellargraph/core/utils.py
imports: import collections
  import scipy.sparse
  from scipy.sparse.linalg import ArpackNoConvergence, eigsh
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: normalized_laplacian(adj, symmetric) and returns: laplacian