Multiplex Graph Representation Learning via Dual Correlation Reduction

This repository contains the reference code for the paper "Multiplex Graph Representation Learning via Dual Correlation Reduction".

Contents

0. Installation
1. Preparation
2. Testing
3. Training

Installation

pip install -r requirements.txt

Preparation

weights see >>>here<<<.

Configs see >>>here<<<.

Dataset (--dataset-class, --dataset-name,--Custom-key)

Important args:

• --pretrain Test checkpoints
• --dataset-name acm, imdb
• --custom_key Node: node classification Clu: clustering Sim: similarity SemiNode: semi-supervised learning

Training

python main.py

Testing

Choose the custom_key of different downstream tasks