CoGNN: Towards Secure and Efficient Collaborative Graph Learning (Artifacts)

This is a public and permanent record for the artifacts of the paper CoGNN: Towards Secure and Efficient Collaborative Graph Learning, which is submitted to ACM CCS 2024.

This record includes both the compressed README project and the compressed Docker image (containing all the source code and compiling/running environment for CoGNN).

The corresponding Github repository is link1 (this record contains version commit-id).  Please see the Github repo for the detailed descriptions of these artifacts.

The corresponding Dockerhub repository is link2 (this record contains version digest). 

Please follow the instructions in our Github repo README to set up the requirements and pull & run the image using the following commands:

git clone https://github.com/CoGNN-anon/CoGNN.git
cd CoGNN
git checkout AE
cd build_from_source
sudo docker build -t cbackyx/cognn-ae-build-test:v1 .
sudo docker run -it --rm --privileged --security-opt apparmor=unconfined --gpus all cbackyx/cognn-ae-build-test:v1 /bin/bash

After that, you can follow the instructions in the README to run the experiments in our paper.