ged-cost-learning

The ged-cost-learning project is the code for the paper A metric learning approach to graph edit costs for regression.

How to use?

Install the library

git clone git@github.com:jajupmochi/ged-cost-learning.git
cd ged-cost-learning/
python setup.py install develop

Run the code

python3 ged_cost_learning/models/run_xps.py

Authors

Linlin Jia, LITIS, INSA Rouen Normandie
Benoit Gaüzère, LITIS, INSA Rouen Normandie
Paul Honeine, LITIS, Université de Rouen Normandie

Citation

If you have used this library in your publication, please cite the the following paper:

@inproceedings{jia2021metric,
  title={A metric learning approach to graph edit costs for regression},
  author={Jia, Linlin and Ga{\"u}z{\`e}re, Benoit and Yger, Florian and Honeine, Paul},
  booktitle={Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR International Workshops, S+ SSPR 2020, Padua, Italy, January 21--22, 2021, Proceedings},
  pages={238--247},
  year={2021},
  organization={Springer}
}

Acknowledgments

This research was supported by CSC (China Scholarship Council) and the French national research agency (ANR) under the grant APi (ANR-18-CE23-0014). The authors would like to thank the CRIANN (Le Centre Régional Informatique et d’Applications Numériques de Normandie) for providing computational resources.

jajupmochi / ged-cost-learning