code: def test_gnn_cheatsheet():
      assert utils.paper_title("GCNConv") == (
          "Semi-supervised Classification "
          "with Graph Convolutional "
          "Networks"
      )
      assert (
          utils.paper_link("GCNConv")
          == "https://arxiv.org/abs/1609.02907"
      )
  
      assert utils.supports_sparse_tensor("GCNConv")
      assert not utils.supports_sparse_tensor("ChebConv")
  
      assert utils.supports_edge_weights("GraphConv")
      assert not utils.supports_edge_weights("SAGEConv")
  
      assert utils.supports_edge_features("GATConv")
      assert not utils.supports_edge_features("SimpleConv")
  
      assert utils.supports_bipartite_graphs("SAGEConv")
      assert not utils.supports_bipartite_graphs("GCNConv")
  
      assert utils.supports_static_graphs("GCNConv")
      assert not utils.supports_static_graphs("GATConv")
  
      assert utils.supports_lazy_initialization("SAGEConv")
      assert not utils.supports_lazy_initialization("GatedGraphConv")
  
      assert utils.processes_heterogeneous_graphs("RGCNConv")
      assert utils.processes_heterogeneous_graphs("HeteroConv")
      assert not utils.processes_heterogeneous_graphs("GCNConv")
  
      assert utils.processes_hypergraphs("HypergraphConv")
      assert not utils.processes_hypergraphs("SAGEConv")
  
      assert utils.processes_point_clouds("DynamicEdgeConv")
      assert utils.processes_point_clouds("XConv")
      assert not utils.processes_point_clouds("CuGraphSAGEConv")
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_gnn_cheatsheet() without return types