code: def pappus_graph():
      # This can also be defined w.r.t. LCF_graph
      # fmt: off
      src_indices = cp.array(
          [
              0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7,
              8, 8, 8, 9, 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12, 13, 13, 13, 14, 14,
              14, 15, 15, 15, 16, 16, 16, 17, 17, 17,
          ],
          index_dtype,
      )
      dst_indices = cp.array(
          [
              1, 5, 17, 0, 2, 8, 1, 3, 13, 2, 4, 10, 3, 5, 15, 0, 4, 6, 5, 7, 11, 6, 8,
              14, 1, 7, 9, 8, 10, 16, 3, 9, 11, 6, 10, 12, 11, 13, 17, 2, 12, 14, 7,
              13, 15, 4, 14, 16, 9, 15, 17, 0, 12, 16,
          ],
          index_dtype,
      )
      # fmt: on
      return nxcg.Graph.from_coo(
          18, src_indices, dst_indices, name="Pappus Graph"
      )
  
imports: import cupy
  import networkx
  import nx_cugraph
  from ..utils import index_dtype, networkx_algorithm
  from ._utils import _IS_NX32_OR_LESS, _create_using_class
label_desc: Use image node_id 15 for calling a global function with example usage: pappus_graph() and returns: nxcg