code: def test_saint_subgraph():
      row = torch.tensor([0, 0, 1, 1, 2, 2, 2, 3, 3, 4])
      col = torch.tensor([1, 2, 0, 2, 0, 1, 3, 2, 4, 3])
      adj = SparseTensor(row=row, col=col)
      node_idx = torch.tensor([0, 1, 2])
  
      adj, edge_index = adj.saint_subgraph(node_idx)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_saint_subgraph() without return types