https://github.com/linusling/wtgmsr
https://github.com/linusling/wtgmsr
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/linusling/wtgmsr
- Owner: LinusLing
- Created: 2025-02-07T22:48:05.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-10T09:10:52.000Z (over 1 year ago)
- Last Synced: 2025-02-24T04:38:08.416Z (over 1 year ago)
- Size: 222 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Weak Ties Guided Mining for Social Recommendation (WT-SR)
This is the PyTorch implementation for **WT-SR** proposed in the paper **Weak Ties Guided Mining for Social
Recommendation**.
> The paper is currently under review.
## Architecture
## Environments
* **python 3.8**
* **pytorch 2.4.0**
## Datasets
| Dataset | Users | Items | Interactions | Relations |
|---------|---------|----------|--------------|-----------|
| Ciao | 7,355 | 17,867 | 140,628 | 111,679 |
| Yelp | 32,827 | 59,972 | 598,121 | 964,510 |
| Douban | 2,669 | 15,940 | 535,210 | 32,705 |
## Model Training
To run the experiments, the scripts we provide can be used directly:
``
python main.py
``
## Acknowledgement
The codes are modified from [GDMSR](https://github.com/tsinghua-fib-lab/Graph-Denoising-SocialRec). Thanks for their
excellent work!