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cope's Introduction

CoPE

Codes for CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.

Usage

python run_cope.py --dataset garden

Datasets Download Links

The smallest dataset garden is uploaded. For other datasets, please check the links below.

Amazon: http://jmcauley.ucsd.edu/data/amazon/index.html

ML: https://grouplens.org/datasets/movielens/

Yoochoosebuy: http://2015.recsyschallenge.com/challenge.html

Interaction Datasets: http://snap.stanford.edu/jodie/

Cite

Please cite our paper if you make advantage of the CoPE in your own work:

@inproceedings{zhang2021cope,
  title={CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph},
  author={Zhang, Yao and Xiong, Yun and Li, Dongsheng, and Shan, Caihua and Ren, Kan and Zhu, Yangyong},
  booktitle={Proceedings of the 30th ACM International Conference on Information and Knowledge Management},
  year={2021},
  organization={ACM}
}

cope's People

Contributors

yzhang1918 avatar

Stargazers

Jung avatar Zhan Su avatar avatar Huixuan Chi (迟慧璇) avatar Mincai Lai avatar avatar

Watchers

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Forkers

deerta0103 ytchx1999 agrimsachdeva

cope's Issues

Improve optimization

Dear Author,

Hello, I am trying to test your code of CoPE. However while I am running codes on Garden dataset, the model converges fast at 2nd epoch reaching 0.078 as MRR and 0.1747 on Recall. Could you kindly give me some advice on how to further tuning the model parameters?

About detach model.get_init_states()

Hi, may I know why model.get_init_states() returns the learnable nn.Parameter of user and item states? From my point of view, they will get back propagated once before first detaching at line 36 of file trainer.py.

YoochooseBuy Preprocess

Hi,
Im currently writing a paper while using your model as a baseline.
However I cannot preprocess he YoochooseBuy dataset to your level.
Would you mind sharing your processed data or how you do the preprocess with me?

Thanks and best regards

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