diff --git a/speos/tests/test_models.py b/speos/tests/test_models.py
index a070955..fd25f56 100644
--- a/speos/tests/test_models.py
+++ b/speos/tests/test_models.py
@@ -221,7 +221,7 @@ def test_forward_mlp_random_input_features(self):
         train_out, loss = self.model.step(dataset.data, dataset.data.train_mask)
 
 
-class RelationalGeneNetworkTest(unittest.TestCase):
+class RelationalGeneNetworkTest(TestSetup):
 
     def setUp(self):
         self.config = Config()
@@ -271,20 +271,6 @@ def test_bootstrap_film(self):
         layers = [module for module in model.architectures[0].mp.modules() if not isinstance(module, nn.Sequential)]
         self.assertEqual("FiLMConv", str(layers[1].__class__.__name__))
 
-    def test_bootstrap_filmtag(self):
-        config = self.config.deepcopy()
-        config.model.mp.type = "filmtag"
-        model = ModelBootstrapper(config, 90, 2).get_model()
-        layers = [module for module in model.architectures[0].mp.modules() if not isinstance(module, nn.Sequential)]
-        self.assertEqual("FiLMTAGConv", str(layers[1].__class__.__name__))
-
-    def test_bootstrap_rtag(self):
-        config = self.config.deepcopy()
-        config.model.mp.type = "rtag"
-        model = ModelBootstrapper(config, 90, 2).get_model()
-        layers = [module for module in model.architectures[0].mp.modules() if not isinstance(module, nn.Sequential)]
-        self.assertEqual("RTAGConv", str(layers[1].__class__.__name__))
-
     def test_bootstrap_gat(self):
         config = self.config.deepcopy()
         config.model.mp.type = "rgat"
@@ -360,7 +346,7 @@ def test_forward_filmtag(self):
         self.assertFalse(np.isnan(loss))
 
 
-class SKLearnModelTest(unittest.TestCase):
+class SKLearnModelTest(TestSetup):
 
     def setUp(self):
         self.config = Config()