NirGNN

The code of 'Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation', WWW-23

Paper data and code

This is the code for the WWW 2023 Paper: [Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation] (https://dl.acm.org/doi/abs/10.1145/3543507.3583526). We built the code based on SR-GNN.

Requirements

• Python 3
• PyTorch 0.4.0

Citation

Please cite our paper if you use the code:

@inproceedings{jin2023dual,
  title={Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation},
  author={Jin, Di and Wang, Luzhi and Zheng, Yizhen and Song, Guojie and Jiang, Fei and Li, Xiang and Lin, Wei and Pan, Shirui},
  booktitle={Proceedings of the ACM Web Conference 2023},
  pages={684--693},
  year={2023}
}