code: def create_mock_target(number_of_nodes, number_of_classes):
      """
      Creating a mock target vector.
      """
      return torch.LongTensor(
          [
              np.random.randint(0, number_of_classes - 1)
              for node in range(number_of_nodes)
          ]
      )
  
imports: import torch
  import math
  import numpy
  import networkx
  from torch_geometric.data import Data
  from torch_geometric.utils import barabasi_albert_graph
  from torch_geometric.transforms import LaplacianLambdaMax
  from torch_geometric_temporal.nn.attention import TemporalConv, STConv, ASTGCN, MSTGCN, MTGNN, ChebConvAttention, AAGCN, GraphAAGCN, DNNTSP
  from torch_geometric_temporal.nn.attention import GMAN, SpatioTemporalAttention, SpatioTemporalEmbedding
label_desc: Use image node_id 3 for calling a global function with example usage: create_mock_target(number_of_nodes, number_of_classes) and returns: torch