PSNR-GNN

Develop a node-adaptive residual module for deep graph neural network via posteriori sampling that alleviates over-smoothing.

Installation

To install the required dependencies for PSNR-GNN, you can use the provided requirement.txt file.

bash pip install -r requirements.txt

The requirements.txt file includes the following dependencies:

    dgl==2.1.0+cu118
    numpy==1.24.1
    ogb==1.3.6
    pandas==2.2.2
    PyYAML==6.0.1
    scikit_learn==1.4.2
    torch==2.2.1+cu118
    tqdm==4.65.0

Usage

To run Classical Node Classification Task

python run_transductive.py

To run Classical Node Classification with Missing Vector Task

python run_transductive_mv.py