An Interpretable Multi-hop Reasoning (IMR) model for temporal KG forecasting.
This is the code of paper Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge Graphs.
pip install -r requirements.txt
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Dataset in TITer
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The result
bash ./run_ICEW18.sh
bash ./run_ICEWS14.sh
bash ./run_WIKI.sh
bash ./run_YAGO.sh
If you find this code useful, please consider citing the following paper.
@inproceedings{
anonymous2022interpretable,
title={Interpretable Multi-hop Reasoning for Forecasting Future Links on Temporal Knowledge Graphs},
author={Anonymous},
booktitle={Submitted to The Thirty-ninth International Conference on Machine Learning},
year={2022},
note={under review}
}
If you have any questions, please email me.
We refer to the code of xERTE. Thanks for their contributions.