code: def could_be_isomorphic(G1, G2):
      """Returns False if graphs are definitely not isomorphic.
      True does NOT guarantee isomorphism.
  
      Parameters
      ----------
      G1, G2 : graphs
         The two graphs G1 and G2 must be the same type.
  
      Notes
      -----
      Checks for matching degree, triangle, and number of cliques sequences.
      The triangle sequence contains the number of triangles each node is part of.
      The clique sequence contains for each node the number of maximal cliques
      involving that node.
  
      """
  
      # Check global properties
      if G1.order() != G2.order():
          return False
  
      # Check local properties
      d1 = G1.degree()
      t1 = nx.triangles(G1)
      clqs_1 = list(nx.find_cliques(G1))
      c1 = {
          n: sum(1 for c in clqs_1 if n in c) for n in G1
      }  # number of cliques
      props1 = [[d, t1[v], c1[v]] for v, d in d1]
      props1.sort()
  
      d2 = G2.degree()
      t2 = nx.triangles(G2)
      clqs_2 = list(nx.find_cliques(G2))
      c2 = {
          n: sum(1 for c in clqs_2 if n in c) for n in G2
      }  # number of cliques
      props2 = [[d, t2[v], c2[v]] for v, d in d2]
      props2.sort()
  
      if props1 != props2:
          return False
  
      # OK...
      return True
  
imports: import networkx
  from networkx.exception import NetworkXError
label_desc: Use image node_id 1 for calling a global function with example usage: could_be_isomorphic(G1, G2) and returns: True, False, False