The source code of "Improved Graph Contrastive Learning for Short Text Classification"
python train.py --dataset [dataset]
Our related work can be found here: MI-DELIGHT and SimSTC.
If you find our work can help your research, please cite our work!
@inproceedings{liu2022few,
title={Improved Graph Contrastive Learning for Short Text Classification},
author={Liu, Yonghao and Huang, Lan and Giunchiglia, Fausto and Feng, Xiaoyue and Guan, Renchu},
booktitle={Proceedings of the Thirty-Eighth Conference on Association for the Advancement of Artificial Intelligence (AAAI)},
year={2024}
}
@inproceedings{liu2025boosting,
title={Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning},
author={Liu, Yonghao and Li, Mengyu and Pang, Wei and Giunchiglia, Fausto and Huang, Lan and Feng, Xiaoyue and Guan, Renchu},
booktitle={Proceedings of the Thirty-Nineth Conference on Association for the Advancement of Artificial Intelligence (AAAI)},
year={2025}
}
@inproceedings{liu2025simple,
title={A Simple Graph Contrastive Learning Framework for Short Text Classification},
author={Liu, Yonghao and Giunchiglia, Fausto and Huang, Lan and Li, Ximing and Feng, Xiaoyue and Guan, Renchu},
booktitle={Proceedings of the Thirty-Nineth Conference on Association for the Advancement of Artificial Intelligence (AAAI)},
year={2025}
}
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