diff --git a/stellargraph/layer/appnp.py b/stellargraph/layer/appnp.py
index 26d76b532..103cc4bec 100644
--- a/stellargraph/layer/appnp.py
+++ b/stellargraph/layer/appnp.py
@@ -15,7 +15,7 @@
 # limitations under the License.
 
 import warnings
-from tensorflow.keras.layers import Dense, Lambda, Dropout, Input, Layer
+from tensorflow.keras.layers import Dense, Lambda, Dropout, Input, Layer, InputLayer
 import tensorflow.keras.backend as K
 
 from ..mapper import FullBatchGenerator
@@ -434,7 +434,10 @@ def propagate_model(self, base_model):
                 "APPNP does not currently support propagating a link model"
             )
 
-        return self._tensors(multiplicity=1, feature_layers=base_model.layers[1:])
+        feature_layers = [
+            layer for layer in base_model.layers if not isinstance(layer, InputLayer)
+        ]
+        return self._tensors(multiplicity=1, feature_layers=feature_layers)
 
     node_model = deprecated_model_function(_node_model, "node_model")
     link_model = deprecated_model_function(_link_model, "link_model")
diff --git a/tests/layer/test_appnp.py b/tests/layer/test_appnp.py
index cf98e5323..0043e2980 100644
--- a/tests/layer/test_appnp.py
+++ b/tests/layer/test_appnp.py
@@ -220,18 +220,7 @@ def test_APPNP_apply_propagate_model_dense():
     assert preds_1 == pytest.approx(preds_2)
 
 
-@pytest.mark.parametrize(
-    "model_type",
-    [
-        pytest.param(
-            "sequential",
-            marks=pytest.mark.xfail(
-                reason="https://github.com/stellargraph/stellargraph/issues/1213"
-            ),
-        ),
-        "model",
-    ],
-)
+@pytest.mark.parametrize("model_type", ["sequential", "model"])
 def test_APPNP_propagate_model_matches_manual(model_type):
     dense_size = 5