GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs

This is the code of paper GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs. Dong Yang, Peijun Qing, Yang Li, Haonan Lu, Xiaodong Lin. EMNLP 2022. [arXiv]

Requirements

• Python 3.7
• PyTorch 1.7
• tqdm
• tensorboardX

Reproduce the Results

1. Download the datasets here.
2. Run the scripts in gamma.sh.

Citation

If you find this code useful, please consider citing the following paper.

@inproceedings{EMNLP2022_GAMMAE,
 author = {Dong Yang and Peijun Qing and Yang Li and Haonan Lu and Xiaodong Lin},
 booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing},
 title = {GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs},
 year = {2022}
}

Acknowledgement

We refer to the code of KGReasoning. Thanks for their contributions.