code: def compute_lap_embedding_from_graph(
      A, num_proj_dimensions=None, proj_to_sphere=True
  ):
      """Returns the representation using Laplacian eigenvectors and in the unit cube.
      Computes this from the adjacency matrix by first computing the Laplacian.
      """
      L = get_normalised_laplacian(A)
      return compute_lap_embedding_from_laplacian(
          L, num_proj_dimensions, proj_to_sphere
      )
  
file_path: dragonfly/dragonfly/utils/graph_utils.py
imports: from copy import deepcopy
  import numpy
  from scipy.linalg import eigh
  from .general_utils import get_nonzero_indices_in_vector
label_desc: Use image node_id 7 for calling a global function with example usage: compute_lap_embedding_from_graph(A, num_proj_dimensions, proj_to_sphere) and returns: compute_lap_embedding_from_laplacian