diff --git a/.github/workflows/pr.yaml b/.github/workflows/pr.yaml
index 157f8ef3b68..e947600a67c 100644
--- a/.github/workflows/pr.yaml
+++ b/.github/workflows/pr.yaml
@@ -28,6 +28,7 @@ jobs:
       - wheel-build-cugraph-dgl
       - wheel-tests-cugraph-dgl
       - wheel-build-cugraph-pyg
+      - wheel-tests-cugraph-pyg
       - devcontainer
     secrets: inherit
     uses: rapidsai/shared-workflows/.github/workflows/pr-builder.yaml@branch-24.02
@@ -152,6 +153,14 @@ jobs:
     with:
       build_type: pull-request
       script: ci/build_wheel_cugraph-pyg.sh
+  wheel-tests-cugraph-pyg:
+    needs: wheel-build-cugraph-pyg
+    secrets: inherit
+    uses: rapidsai/shared-workflows/.github/workflows/wheels-test.yaml@branch-24.02
+    with:
+      build_type: pull-request
+      script: ci/test_wheel_cugraph-pyg.sh
+      matrix_filter: map(select(.ARCH == "amd64"))
   devcontainer:
     secrets: inherit
     uses: rapidsai/shared-workflows/.github/workflows/build-in-devcontainer.yaml@branch-24.02
diff --git a/ci/test_wheel_cugraph-pyg.sh b/ci/test_wheel_cugraph-pyg.sh
new file mode 100755
index 00000000000..c6d65d5e87a
--- /dev/null
+++ b/ci/test_wheel_cugraph-pyg.sh
@@ -0,0 +1,40 @@
+#!/bin/bash
+# Copyright (c) 2024, NVIDIA CORPORATION.
+
+set -eoxu pipefail
+
+package_name="cugraph-pyg"
+package_dir="python/cugraph-pyg"
+
+python_package_name=$(echo ${package_name}|sed 's/-/_/g')
+
+mkdir -p ./dist
+RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
+
+# use 'ls' to expand wildcard before adding `[extra]` requires for pip
+RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
+# pip creates wheels using python package names
+python -m pip install $(ls ./dist/${python_package_name}*.whl)[test]
+
+
+if [[ "${CUDA_VERSION}" == "11.8.0" ]]; then
+  rapids-logger "Installing PyTorch and PyG dependencies"
+  PYTORCH_URL="https://download.pytorch.org/whl/cu118"
+  rapids-retry python -m pip install torch==2.1.0 --index-url ${PYTORCH_URL}
+  rapids-retry python -m pip install \
+        pyg_lib \
+        torch_scatter \
+        torch_sparse \
+        torch_cluster \
+        torch_spline_conv \
+      -f https://data.pyg.org/whl/torch-2.1.0+cu118.html
+
+  rapids-logger "pytest cugraph-pyg (single GPU)"
+  python -m pytest \
+      --cache-clear \
+      --ignore=tests/int \
+      --ignore=tests/mg \
+       python/cugraph-pyg/cugraph_pyg/tests
+else
+  rapids-logger "skipping cugraph-pyg wheel test on CUDA!=11.8"
+fi