Code for Shrinking Embeddings for Hyper-relational Knowledge Graphs
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https://darus.uni-stuttgart.de/citation?persistentId=doi:10.18419/darus-3979
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资源简介:
<p>This is a Pytorch implementation of the paper Shrinking Embeddings for Hyper-relational Knowledge Graphs published in ACL'23.</p>
<p>This code is used to reproduce the experiments of the method ShrinkE, a geometric embedding approach for hyper-relational knowledge graphs. The code is implemented with Python 3 and pytorch. The code is tested on public datasets which can be download from <a href="https://github.com/migalkin/StarE">StarE</a>. To execute the code, follow the instructions in the <a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=299938">README.md</a> file. </p>
<p>For more info, please check the paper or feel free to contact the authors for any inquiries.</p>
提供机构:
DaRUS
创建时间:
2024-02-12



