diff --git a/ci/test_wheel_cugraph-dgl.sh b/ci/test_wheel_cugraph-dgl.sh
index 1dbf44f..d7558d4 100755
--- a/ci/test_wheel_cugraph-dgl.sh
+++ b/ci/test_wheel_cugraph-dgl.sh
@@ -5,22 +5,15 @@ set -eoxu pipefail
 
 package_name="cugraph-dgl"
 
-python_package_name=$(echo ${package_name}|sed 's/-/_/g')
-
 mkdir -p ./dist
 RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
 
-# Download wheels built during this job.
+# Download the pylibcugraph, cugraph, and cugraph-dgl built in the previous step
 RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-deps
 RAPIDS_PY_WHEEL_NAME="cugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-deps
-python -m pip install ./local-deps/*.whl
-
-# use 'ls' to expand wildcard before adding `[extra]` requires for pip
 RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" RAPIDS_PY_WHEEL_PURE="1" rapids-download-wheels-from-s3 ./dist
-# pip creates wheels using python package names
-python -m pip install $(ls ./dist/${python_package_name}*.whl)[test]
-
 
+# determine pytorch and DGL sources
 PKG_CUDA_VER="$(echo ${CUDA_VERSION} | cut -d '.' -f1,2 | tr -d '.')"
 PKG_CUDA_VER_MAJOR=${PKG_CUDA_VER:0:2}
 if [[ "${PKG_CUDA_VER_MAJOR}" == "12" ]]; then
@@ -29,20 +22,17 @@ else
   PYTORCH_CUDA_VER=$PKG_CUDA_VER
 fi
 PYTORCH_URL="https://download.pytorch.org/whl/cu${PYTORCH_CUDA_VER}"
-DGL_URL="https://data.dgl.ai/wheels/cu${PYTORCH_CUDA_VER}/repo.html"
-
-# Starting from 2.2, PyTorch wheels depend on nvidia-nccl-cuxx>=2.19 wheel and
-# dynamically link to NCCL. RAPIDS CUDA 11 CI images have an older NCCL version that
-# might shadow the newer NCCL required by PyTorch during import (when importing
-# `cupy` before `torch`).
-if [[ "${NCCL_VERSION}" < "2.19" ]]; then
-  PYTORCH_VER="2.1.0"
-else
-  PYTORCH_VER="2.3.0"
-fi
-
-rapids-logger "Installing PyTorch and DGL"
-rapids-retry python -m pip install "torch==${PYTORCH_VER}" --index-url ${PYTORCH_URL}
-rapids-retry python -m pip install dgl==2.0.0 --find-links ${DGL_URL}
+DGL_URL="https://data.dgl.ai/wheels/torch-2.3/cu${PYTORCH_CUDA_VER}/repo.html"
+
+# echo to expand wildcard before adding `[extra]` requires for pip
+python -m pip install \
+    -v \
+    --extra-index-url "${PYTORCH_URL}" \
+    --find-links "${DGL_URL}" \
+    "$(echo ./local-deps/pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}*.whl)" \
+    "$(echo ./local-deps/cugraph_${RAPIDS_PY_CUDA_SUFFIX}*.whl)" \
+    "$(echo ./dist/cugraph_dgl_${RAPIDS_PY_CUDA_SUFFIX}*.whl)[test]" \
+    'dgl==2.4.0' \
+    'torch>=2.3.0,<2.4'
 
 python -m pytest python/cugraph-dgl/tests
diff --git a/ci/test_wheel_cugraph-pyg.sh b/ci/test_wheel_cugraph-pyg.sh
index 1dc94bb..2f508ee 100755
--- a/ci/test_wheel_cugraph-pyg.sh
+++ b/ci/test_wheel_cugraph-pyg.sh
@@ -5,44 +5,43 @@ set -eoxu pipefail
 
 package_name="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})"
 
-# Download wheels built during this job.
+# Download the pylibcugraph, cugraph, and cugraph-pyg built in the previous step
 RAPIDS_PY_WHEEL_NAME="pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-deps
 RAPIDS_PY_WHEEL_NAME="cugraph_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-deps
-python -m pip install ./local-deps/*.whl
-
-# use 'ls' to expand wildcard before adding `[extra]` requires for pip
 RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" RAPIDS_PY_WHEEL_PURE="1" rapids-download-wheels-from-s3 ./dist
-# pip creates wheels using python package names
-python -m pip install $(ls ./dist/${python_package_name}*.whl)[test]
-
-# RAPIDS_DATASET_ROOT_DIR is used by test scripts
-export RAPIDS_DATASET_ROOT_DIR="$(realpath datasets)"
-
-# Used to skip certain examples in CI due to memory limitations
-export CI_RUN=1
 
+# determine pytorch and pyg sources
 if [[ "${CUDA_VERSION}" == "11.8.0" ]]; then
   PYTORCH_URL="https://download.pytorch.org/whl/cu118"
-  PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu118.html"
+  PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu118.html"
 else
   PYTORCH_URL="https://download.pytorch.org/whl/cu121"
-  PYG_URL="https://data.pyg.org/whl/torch-2.1.0+cu121.html"
+  PYG_URL="https://data.pyg.org/whl/torch-2.3.0+cu121.html"
 fi
-rapids-logger "Installing PyTorch and PyG dependencies"
-rapids-retry python -m pip install torch==2.1.0 --index-url ${PYTORCH_URL}
-rapids-retry python -m pip install "torch-geometric>=2.5,<2.6"
-rapids-retry python -m pip install \
-  ogb \
-  pyg_lib \
-  torch_scatter \
-  torch_sparse \
-  tensordict \
-  -f ${PYG_URL}
+
+# echo to expand wildcard before adding `[extra]` requires for pip
+python -m pip install \
+    -v \
+    --extra-index-url "${PYTORCH_URL}" \
+    --find-links "${PYG_URL}" \
+    "$(echo ./local-deps/pylibcugraph_${RAPIDS_PY_CUDA_SUFFIX}*.whl)" \
+    "$(echo ./local-deps/cugraph_${RAPIDS_PY_CUDA_SUFFIX}*.whl)" \
+    "$(echo ./dist/cugraph_pyg_${RAPIDS_PY_CUDA_SUFFIX}*.whl)[test]" \
+    'ogb' \
+    'pyg_lib' \
+    'torch>=2.3.0,<2.4' \
+    'torch-geometric>=2.5,<2.6' \
+    'torch_scatter' \
+    'torch_sparse'
+
+# RAPIDS_DATASET_ROOT_DIR is used by test scripts
+export RAPIDS_DATASET_ROOT_DIR="$(realpath datasets)"
+
+# Used to skip certain examples in CI due to memory limitations
+export CI_RUN=1
 
 rapids-logger "pytest cugraph-pyg (single GPU)"
 pushd python/cugraph-pyg/cugraph_pyg