018-causal-incremental-graph-convolution-for-recommender-system-retraining

https://github.com/szu-advtech-2024/018-causal-incremental-graph-convolution-for-recommender-system-retraining

Science Score: 31.0%

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Host: GitHub
Owner: SZU-AdvTech-2024
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Created over 1 year ago · Last pushed over 1 year ago

Metadata Files

Citation

https://github.com/SZU-AdvTech-2024/018-Causal-Incremental-Graph-Convolution-for-Recommender-System-Retraining/blob/main/

# Requirements

torch==1.9.0
tqdm==4.61.2
torch_scatter==2.0.7
torch_geometric==2.0.2
torch_sparse==0.6.10
pandas==1.1.5
matplotlib==3.3.4
scipy==1.5.4
numpy==1.16.2
loguru==0.5.3
scikit-learn==1.0.1



# Dataset

[JD](https://jdata.jd.com/html/detail.html?id=8): This is an open dataset collected from JD, which is one of the largest e-commerce platforms in China. There are three types of behaviors in this dataset, including view, tag-as-favorite, and purchase. Dataset link: https://jdata.jd.com/html/detail.html?id=8



# Start

Run the .sh script file directly

for example : 

```
. I_CRGCN.sh
```

Running different data sets requires changes to the code in the script file



# References

```
@article{yan2023cascading,
  title={Cascading residual graph convolutional network for multi-behavior recommendation},
  author={Yan, Mingshi and Cheng, Zhiyong and Gao, Chen and Sun, Jing and Liu, Fan and Sun, Fuming and Li, Haojie},
  journal={ACM Transactions on Information Systems},
  volume={42},
  number={1},
  pages={1--26},
  year={2023},
  publisher={ACM New York, NY}
}
```

Its github repository: https://github.com/MingshiYan/CRGCN



```
@article{ding2022causal,
  title={Causal incremental graph convolution for recommender system retraining},
  author={Ding, Sihao and Feng, Fuli and He, Xiangnan and Liao, Yong and Shi, Jun and Zhang, Yongdong},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  volume={35},
  number={4},
  pages={4718--4728},
  year={2022},
  publisher={IEEE}
}
```

Its github repository: https://github.com/Dingseewhole/CI_LightGCN_master/

Owner

Name: SZU-AdvTech-2024
Login: SZU-AdvTech-2024
Kind: organization

Repositories: 1
Profile: https://github.com/SZU-AdvTech-2024

Citation (citation.txt)

@article{REPO018,
    author = "Ding, Sihao and Feng, Fuli and He, Xiangnan and Liao, Yong and Shi, Jun and Zhang, Yongdong",
    journal = "IEEE Transactions on Neural Networks and Learning Systems",
    number = "4",
    pages = "4718-4728",
    title = "{Causal Incremental Graph Convolution for Recommender System Retraining}",
    volume = "35",
    year = "2024"
}

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