diff --git a/python/dgl/graphbolt/internal_utils.py b/python/dgl/graphbolt/internal_utils.py
index 3a20a95bfe74..53e7ed8ed5f6 100644
--- a/python/dgl/graphbolt/internal_utils.py
+++ b/python/dgl/graphbolt/internal_utils.py
@@ -1,6 +1,8 @@
 """Miscallenous internal utils."""
+import functools
 import hashlib
 import os
+import platform
 import warnings
 from collections.abc import Mapping, Sequence
 
@@ -15,6 +17,18 @@
     from setuptools.extern.packaging import version
 
 
+@functools.lru_cache(maxsize=None)
+def is_wsl(v: str = platform.uname().release) -> int:
+    """Detects if Python is running in WSL"""
+
+    if v.endswith("-Microsoft"):
+        return 1
+    elif v.endswith("microsoft-standard-WSL2"):
+        return 2
+
+    return 0
+
+
 # pylint: disable=invalid-name
 _default_formatwarning = warnings.formatwarning
 
diff --git a/tests/python/pytorch/graphbolt/impl/test_fused_csc_sampling_graph.py b/tests/python/pytorch/graphbolt/impl/test_fused_csc_sampling_graph.py
index e99873527d90..2b7d9ee11327 100644
--- a/tests/python/pytorch/graphbolt/impl/test_fused_csc_sampling_graph.py
+++ b/tests/python/pytorch/graphbolt/impl/test_fused_csc_sampling_graph.py
@@ -1618,6 +1618,9 @@ def test_csc_sampling_graph_to_device(device):
     F._default_context_str == "cpu",
     reason="Tests for pinned memory are only meaningful on GPU.",
 )
+@unittest.skipIf(
+    gb.is_wsl(), reason="In place pinning is not supported on WSL."
+)
 def test_csc_sampling_graph_to_pinned_memory():
     # Construct FusedCSCSamplingGraph.
     graph = create_fused_csc_sampling_graph()
diff --git a/tests/python/pytorch/graphbolt/impl/test_torch_based_feature_store.py b/tests/python/pytorch/graphbolt/impl/test_torch_based_feature_store.py
index c36e9b0f7d0a..201b024241be 100644
--- a/tests/python/pytorch/graphbolt/impl/test_torch_based_feature_store.py
+++ b/tests/python/pytorch/graphbolt/impl/test_torch_based_feature_store.py
@@ -1,8 +1,6 @@
 import os
 import tempfile
 import unittest
-from functools import reduce
-from operator import mul
 
 import backend as F
 
@@ -216,6 +214,8 @@ def test_torch_based_pinned_feature(dtype, idtype, shape, in_place):
 
     feature = gb.TorchBasedFeature(tensor)
     if in_place:
+        if gb.is_wsl():
+            pytest.skip("In place pinning is not supported on WSL.")
         feature.pin_memory_()
 
         # Check if pinning is truly in-place.