AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity

Requirements

Hardware environment: Intel(R) Xeon(R) Gold 6230R CPU @ 2.10GHz, NVIDIA GeForce RTX 3090 with 24GB memory.

Software environment: Ubuntu 18.04.6, Python 3.9, PyTorch 1.11.0 and CUDA 11.8.

1. Please refer to PyTorch and PyG to install the environments;
2. Run 'pip install -r requirements.txt' to download required packages;

Training

To train the model(s) in the paper

1. Please unzip datasets to the current file directory location

2. Open main.py to train AdaFGL with our proposed decouple two step training framework.

   Run this command:

  python main.py