GCE-GNN

Code

This is the source code for SIGIR 2020 Paper: Global Context Enhanced Graph Neural Networks for Session-based Recommendation.

Requirements

• Python 3
• PyTorch >= 1.3.0
• tqdm

Usage

Data preprocessing:

The code for data preprocessing can refer to SR-GNN.

Train and evaluate the model:

python build_graph.py --dataset diginetica --sample_num 12
python main.py --dataset diginetica

Citation

@inproceedings{wang2020global,
    title={Global Context Enhanced Graph Neural Networks for Session-based Recommendation},
    author={Wang, Ziyang and Wei, Wei and Cong, Gao and Li, Xiao-Li and Mao, Xian-Ling and Qiu, Minghui},
    booktitle={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
    pages={169--178},
    year={2020}
}