https://github.com/dmis-lab/ictc
https://github.com/dmis-lab/ictc
Last synced: 11 months ago
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- Host: GitHub
- URL: https://github.com/dmis-lab/ictc
- Owner: dmis-lab
- Created: 2020-05-18T08:58:32.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2020-05-25T06:07:32.000Z (about 6 years ago)
- Last Synced: 2025-03-17T00:43:02.914Z (about 1 year ago)
- Language: Python
- Size: 14.4 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
This repository is a implementation of paper Bipartite Link Prediction by Intra-class connection based Triadic Closure.
ICTC is a bipartite link prediction method.\
Note: to run this model, please use python version above 3.0.
To run the model, please first select one dataset from args.py while commenting out the ones that you are not using.\
You have three model choices.
To run ICTC, python train.py. This will run GAE,LGAE,ICTC.\
To run BiSPM, python bispm.py \
To run SRNMF, choose one similarity measure which is one of [CN, JC,CPA] by selecting one from srnmf.py. (i.e. args.similarity = 'srnmf_cn') then python srnmf.py