MGCN: Multi-View Graph Convolutional Network for Multimedia Recommendation
Introduction
This is the Pytorch implementation for our MM 2023 paper:
MM 2023. Penghang Yu, Zhiyi Tan, Guanming Lu, Bing-Kun Bao(2023). Multi-View Graph Convolutional Network for Multimedia Recommendation
Enviroment Requirement
- python 3.8
- Pytorch 1.12
Dataset
We provide three processed datasets: Baby, Sports and Clothing.
Download from Google Drive: Baby/Sports/Clothing
Training
cd ./src
python main.py
Performance Comparison
Citing MGCN
If you find MGCN useful in your research, please consider citing our paper.
@article{yu2023multi,
title={Multi-View Graph Convolutional Network for Multimedia Recommendation},
author={Yu, Penghang and Tan, Zhiyi and Lu, Guanming and Bao, Bing-Kun},
booktitle={Proceedings of the 31st ACM International Conference on Multimedia},
pages = {6576–6585},
year={2023}
}
The code is released for academic research use only. For commercial use, please contact Penghang Yu.
Acknowledgement
The structure of this code is based on MMRec. Thank for their work.