code: def lmax_L(L):
      """Compute largest Laplacian eigenvalue"""
      return scipy.sparse.linalg.eigsh(
          L, k=1, which="LM", return_eigenvectors=False
      )[0]
  
file_path: dgl/examples/pytorch/model_zoo/geometric/coarsening.py
imports: import numpy
  import scipy.sparse
  import sklearn.metrics
label_desc: Use image node_id 3 for calling a global function with example usage: lmax_L(L) and returns: scipy