GRecX

A Fair Benchmark for GNN-based Recommendation

Homepage and Documentation

• Homepage:
• Documentation:
• Paper: GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation

Preliminary Comparison

LightGCN-Yelp dataset (featureless)

• BCE-loss

• BPR-loss

LightGCN-Gowalla dataset (featureless)

• BCE-loss

• BPR-loss

LightGCN-Amazon-book dataset (featureless)

Cite

If you use GRecX in a scientific publication, we would appreciate citations to the following paper:

@misc{cai2021grecx,
title={GRecX: An Efficient and Unified Benchmark for GNN-based Recommendation},
author={Desheng Cai and Jun Hu and Shengsheng Qian and Quan Fang and Quan Zhao and Changsheng Xu},
year={2021},
eprint={2111.10342},
archivePrefix={arXiv},
primaryClass={cs.IR}
}