/DGCN

The official implementation of "DGCN: Diversified Recommendation with Graph Convolutional Networks" (WWW '21)

Primary LanguagePythonMIT LicenseMIT

DGCN

This is the official implementation of our WWW'21 paper:

Yu Zheng, Chen Gao, Liang Chen, Depeng Jin, Yong Li, DGCN: Diversified Recommendation with Graph Convolutional Networks, In Proceedings of the Web Conference 2021.

First unzip the datasets and start the visdom server:

visdom -port 33333

Then simply run the following command to reproduce the experiments on corresponding dataset and model:

python app.py --flagfile ./config/xxx.cfg

If you use our codes and datasets in your research, please cite:

@inproceedings{zheng2021dgcn,
  title={DGCN: Diversified Recommendation with Graph Convolutional Networks},
  author={Zheng, Yu and Gao, Chen and Chen, Liang and Jin, Depeng and Li, Yong},
  booktitle={Proceedings of the Web Conference 2021},
  pages={401--412},
  year={2021}
}