mims-harvard / GNNDelete

General Strategy for Unlearning in Graph Neural Networks
https://zitniklab.hms.harvard.edu/projects/GNNDelete
MIT License
37 stars 10 forks source link

Cannot find requirements.txt #1

Open sinhayash opened 1 year ago

sinhayash commented 1 year ago

The readme mentions:

Please install the required packages by running pip install -r requirements.txt

Please tell where is the requirements.txt located?

yashpaneliya commented 1 year ago

The readme mentions:

Please install the required packages by running pip install -r requirements.txt

Please tell where is the requirements.txt located?

Hey, you can install the dependencies mentioned below to run the code.

appdirs==1.4.4
charset-normalizer==3.2.0
click==8.1.6
cmake==3.27.2
docker-pycreds==0.4.0
filelock==3.12.2
gitdb==4.0.10
GitPython==3.1.32
idna==3.4
Jinja2==3.1.2
joblib==1.3.2
lit==16.0.6
MarkupSafe==2.1.3
mpmath==1.3.0
networkx==3.1
numpy==1.25.2
nvidia-cublas-cu11==11.10.3.66
nvidia-cuda-cupti-cu11==11.7.101
nvidia-cuda-nvrtc-cu11==11.7.99
nvidia-cuda-runtime-cu11==11.7.99
nvidia-cudnn-cu11==8.5.0.96
nvidia-cufft-cu11==10.9.0.58
nvidia-curand-cu11==10.2.10.91
nvidia-cusolver-cu11==11.4.0.1
nvidia-cusparse-cu11==11.7.4.91
nvidia-nccl-cu11==2.14.3
nvidia-nvtx-cu11==11.7.91
pandas==2.0.3
pathtools==0.1.2
protobuf==4.24.0
psutil==5.9.5
pyparsing==3.1.1
python-dateutil==2.8.2
pytz==2023.3
PyYAML==6.0.1
requests==2.31.0
scikit-learn==1.3.0
scipy==1.11.1
sentry-sdk==1.29.2
setproctitle==1.3.2
six==1.16.0
smmap==5.0.0
sympy==1.12
threadpoolctl==3.2.0
torch==2.0.1
torch-geometric==2.3.1
torch-scatter==2.1.1
torch-sparse==0.6.17
tqdm==4.66.1
triton==2.0.0
typing_extensions==4.7.1
tzdata==2023.3
urllib3==2.0.4
wandb==0.15.8