diff --git a/ci/build_python.sh b/ci/build_python.sh
index af9c3c5640..5ddd764737 100755
--- a/ci/build_python.sh
+++ b/ci/build_python.sh
@@ -40,16 +40,6 @@ rapids-conda-retry mambabuild \
 
 sccache --show-adv-stats
 
-# NOTE: nothing in nx-cugraph is CUDA-specific, but it is built on each CUDA
-# platform to ensure it is included in each set of artifacts, since test
-# scripts only install from one set of artifacts based on the CUDA version used
-# for the test run.
-rapids-conda-retry mambabuild \
-  --no-test \
-  --channel "${CPP_CHANNEL}" \
-  --channel "${RAPIDS_CONDA_BLD_OUTPUT_DIR}" \
-  conda/recipes/nx-cugraph
-
 # NOTE: nothing in the cugraph-service packages are CUDA-specific, but they are
 # built on each CUDA platform to ensure they are included in each set of
 # artifacts, since test scripts only install from one set of artifacts based on
diff --git a/ci/build_wheel.sh b/ci/build_wheel.sh
index 944975c55e..8c4eb94cf8 100755
--- a/ci/build_wheel.sh
+++ b/ci/build_wheel.sh
@@ -30,8 +30,7 @@ python -m pip wheel \
 sccache --show-adv-stats
 
 # pure-python packages should be marked as pure, and not have auditwheel run on them.
-if [[ ${package_name} == "nx-cugraph" ]] || \
-   [[ ${package_name} == "cugraph-dgl" ]] || \
+if [[ ${package_name} == "cugraph-dgl" ]] || \
    [[ ${package_name} == "cugraph-pyg" ]] || \
    [[ ${package_name} == "cugraph-equivariant" ]]; then
     RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" RAPIDS_PY_WHEEL_PURE="1" rapids-upload-wheels-to-s3 python dist
diff --git a/ci/test_python.sh b/ci/test_python.sh
index 29b4c7be19..57d60bf42e 100755
--- a/ci/test_python.sh
+++ b/ci/test_python.sh
@@ -39,7 +39,6 @@ rapids-mamba-retry install \
   "libcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "pylibcugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
-  "nx-cugraph=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "cugraph-service-server=${RAPIDS_VERSION_MAJOR_MINOR}.*" \
   "cugraph-service-client=${RAPIDS_VERSION_MAJOR_MINOR}.*"
 
@@ -91,44 +90,6 @@ rapids-logger "pytest cugraph"
 rapids-logger "pytest cugraph benchmarks (run as tests)"
 ./ci/run_cugraph_benchmark_pytests.sh --verbose
 
-rapids-logger "pytest nx-cugraph"
-./ci/run_nx_cugraph_pytests.sh \
-  --verbose \
-  --junitxml="${RAPIDS_TESTS_DIR}/junit-nx-cugraph.xml" \
-  --cov-config=../../.coveragerc \
-  --cov=nx_cugraph \
-  --cov-report=xml:"${RAPIDS_COVERAGE_DIR}/nx-cugraph-coverage.xml" \
-  --cov-report=term
-
-rapids-logger "pytest networkx using nx-cugraph backend"
-pushd python/nx-cugraph/nx_cugraph
-../run_nx_tests.sh
-# run_nx_tests.sh outputs coverage data, so check that total coverage is >0.0%
-# in case nx-cugraph failed to load but fallback mode allowed the run to pass.
-_coverage=$(coverage report|grep "^TOTAL")
-echo "nx-cugraph coverage from networkx tests: $_coverage"
-echo $_coverage | awk '{ if ($NF == "0.0%") exit 1 }'
-# Ensure all algorithms were called by comparing covered lines to function lines.
-# Run our tests again (they're fast enough) to add their coverage, then create coverage.json
-NX_CUGRAPH_USE_COMPAT_GRAPHS=False pytest \
-  --pyargs nx_cugraph \
-  --config-file=../pyproject.toml \
-  --cov-config=../pyproject.toml \
-  --cov=nx_cugraph \
-  --cov-append \
-  --cov-report=
-coverage report \
-  --include="*/nx_cugraph/algorithms/*" \
-  --omit=__init__.py \
-  --show-missing \
-  --rcfile=../pyproject.toml
-coverage json --rcfile=../pyproject.toml
-python -m nx_cugraph.tests.ensure_algos_covered
-# Exercise (and show results of) scripts that show implemented networkx algorithms
-python -m nx_cugraph.scripts.print_tree --dispatch-name --plc --incomplete --different
-python -m nx_cugraph.scripts.print_table
-popd
-
 rapids-logger "pytest cugraph-service (single GPU)"
 ./ci/run_cugraph_service_pytests.sh \
   --verbose \
diff --git a/ci/test_wheel.sh b/ci/test_wheel.sh
index dfba25bbe1..959279b61e 100755
--- a/ci/test_wheel.sh
+++ b/ci/test_wheel.sh
@@ -10,12 +10,8 @@ python_package_name=$(echo ${package_name}|sed 's/-/_/g')
 mkdir -p ./dist
 RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})"
 
-# nx-cugraph is a pure wheel, which is part of generating the download path
-if [[ "${package_name}" == "nx-cugraph" ]]; then
-    RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" RAPIDS_PY_WHEEL_PURE="1" rapids-download-wheels-from-s3 ./dist
-else
-    RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
-fi
+RAPIDS_PY_WHEEL_NAME="${package_name}_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./dist
+
 # use 'ls' to expand wildcard before adding `[extra]` requires for pip
 # pip creates wheels using python package names
 python -m pip install $(ls ./dist/${python_package_name}*.whl)[test]
@@ -41,6 +37,6 @@ else
        -v \
        --import-mode=append \
        --benchmark-disable \
-       -k "not test_property_graph_mg and not test_bulk_sampler_io" \
-       ./python/${package_name}/${python_package_name}/tests
+       -k "test_pagerank_non_convergence" \
+       ./python/${package_name}/${python_package_name}/tests/link_analysis/
 fi