diff --git a/python/cugraph/cugraph/structure/graph_classes.py b/python/cugraph/cugraph/structure/graph_classes.py
index 03efcba0307..f48895c90b9 100644
--- a/python/cugraph/cugraph/structure/graph_classes.py
+++ b/python/cugraph/cugraph/structure/graph_classes.py
@@ -1,4 +1,4 @@
-# Copyright (c) 2021-2023, NVIDIA CORPORATION.
+# Copyright (c) 2021-2024, NVIDIA CORPORATION.
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -426,7 +426,7 @@ def from_pandas_edgelist(
         ...                        edge_attr='2', renumber=False)
 
         """
-        if not isinstance(pdf, pd.core.frame.DataFrame):
+        if not isinstance(pdf, pd.DataFrame):
             raise TypeError("pdf input is not a Pandas DataFrame")
 
         gdf = cudf.DataFrame.from_pandas(pdf)
@@ -450,7 +450,7 @@ def from_pandas_adjacency(self, pdf):
         pdf : pandas.DataFrame
             A DataFrame that contains adjacency information
         """
-        if not isinstance(pdf, pd.core.frame.DataFrame):
+        if not isinstance(pdf, pd.DataFrame):
             raise TypeError("pdf input is not a Pandas DataFrame")
 
         np_array = pdf.to_numpy()
diff --git a/python/cugraph/cugraph/structure/hypergraph.py b/python/cugraph/cugraph/structure/hypergraph.py
index 4add74d6061..add68cb6dac 100644
--- a/python/cugraph/cugraph/structure/hypergraph.py
+++ b/python/cugraph/cugraph/structure/hypergraph.py
@@ -185,7 +185,7 @@ def hypergraph(
     events.reset_index(drop=True, inplace=True)
 
     if EVENTID not in events.columns:
-        events[EVENTID] = cudf.core.index.RangeIndex(len(events))
+        events[EVENTID] = cudf.RangeIndex(len(events))
 
     events[EVENTID] = _prepend_str(events[EVENTID], EVENTID + DELIM)
     events[NODETYPE] = (
@@ -596,6 +596,4 @@ def _prepend_str(col, val):
 
 # Make an empty categorical string dtype
 def _empty_cat_dt():
-    return cudf.core.dtypes.CategoricalDtype(
-        categories=np.array([], dtype="str"), ordered=False
-    )
+    return cudf.CategoricalDtype(categories=np.array([], dtype="str"), ordered=False)
diff --git a/python/cugraph/cugraph/tests/utils/test_dataset.py b/python/cugraph/cugraph/tests/utils/test_dataset.py
index 39f7ed8850b..9331cefcfda 100644
--- a/python/cugraph/cugraph/tests/utils/test_dataset.py
+++ b/python/cugraph/cugraph/tests/utils/test_dataset.py
@@ -171,14 +171,14 @@ def test_reader(dataset):
     E = dataset.get_edgelist(download=True)
 
     assert E is not None
-    assert isinstance(E, cudf.core.dataframe.DataFrame)
+    assert isinstance(E, cudf.DataFrame)
     dataset.unload()
 
     # using pandas
     E_pd = dataset.get_edgelist(download=True, reader="pandas")
 
     assert E_pd is not None
-    assert isinstance(E_pd, pandas.core.frame.DataFrame)
+    assert isinstance(E_pd, pandas.DataFrame)
     dataset.unload()
 
     with pytest.raises(ValueError):