code: def test_mogonet_gcn_conv_no_bias():
      in_channels = 2
      out_channels = 8
      conv = MogonetGCNConv(
          in_channels=in_channels, out_channels=out_channels, bias=False
      )
      assert conv.bias is None
  
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 3 for calling a global function with example usage: test_mogonet_gcn_conv_no_bias() without return types