code: def generate_graph():
      u = torch.tensor([0, 1, 0, 2, 3, 0, 4, 0, 5, 0, 6, 7, 0, 8, 9])
      v = torch.tensor([1, 9, 2, 9, 9, 4, 9, 5, 9, 6, 9, 9, 8, 9, 0])
      g = dgl.graph((u, v))
      return g
  
file_path: dgl/tests/cugraph/cugraph-ops/test_cugraph_gatconv.py
imports: from collections import OrderedDict
  from itertools import product
  import dgl
  import pytest
  import torch
  from dgl.nn import CuGraphGATConv, GATConv
label_desc: Use image node_id 1 for calling a global function with example usage: generate_graph() and returns: g