https://github.com/alexduvalinho/linkprediction-graph
Link prediction task for a citation network
https://github.com/alexduvalinho/linkprediction-graph
Last synced: 3 months ago
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Link prediction task for a citation network
- Host: GitHub
- URL: https://github.com/alexduvalinho/linkprediction-graph
- Owner: AlexDuvalinho
- Created: 2020-05-12T20:39:12.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-05-12T20:42:53.000Z (about 5 years ago)
- Last Synced: 2025-01-05T21:42:33.905Z (5 months ago)
- Language: Python
- Size: 10.1 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# NSA KAGGLE
Gaël de Léséleuc, Alexandre Duval
## To run the code
Once the required package has been installed (see *requirements.txt*).
1/ Preprocess, compute and save the intrinsic features of each papers :
```
python src/papers_preprocessing.py
```
2/ Compute the co-authors graph (*section 2.3* in the report)
```
python src/co_authors_graph.py
```
3/ To run the learning algorithm that used the edge prediction approach (*section 1.1* in the report)
```
python src/edge_pred_approach.py
```
4/ To run the learning algorithm that used the label prediction approach (*section 1.2* in the report)
```
python src/label_pred_approach.py
```