code: def test_mogonet_gcn_output(test_data):
      model = MogonetGCN(
          in_channels=2, hidden_channels=[4, 5, 6], dropout=0.5
      )
      x = test_data.x
      adj_t = test_data.adj_t
      output = model(x, adj_t)
      assert output.shape == (3, 6)
  
file_path: pykale/tests/embed/test_mogonet.py
imports: import pytest
  import torch
  from torch_geometric.data import Data
  from torch_sparse import SparseTensor
  from kale.embed.mogonet import MogonetGCN, MogonetGCNConv
label_desc: Use image node_id 7 for calling a global function with example usage: test_mogonet_gcn_output(test_data) without return types