Code for the paper Rep the Set: Neural Networks for Learning Set Representations.
Code is written in Python 3.6 and requires:
- lap 0.4.0
- PyTorch 1.1
- scikit-learn 0.21
You can specify the dataset and the hyperparameters in the main.py files.
For the exact model, run:
python repset/main.py
For the approximate model, run:
python approxrepset/main.py
Please cite our paper if you use this code:
@inproceedings{skianis2020rep,
title={Rep the Set: Neural Networks for Learning Set Representations},
author={Skianis, Konstantinos and Nikolentzos, Giannis and Limnios, Stratis and Vazirgiannis, Michalis},
booktitle={Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics},
pages={1410--1420},
year={2020}
}
Provided for academic use only