Code for Ultrahyperbolic Knowledge Graph Embeddings

<p>This is a Pytorch implementation of the paper Ultrahyperbolic Knowledge Graph Embeddings published in KDD 2022. This code is used to reproduce the experiments of the method UltraE, a geometric embedding approach for knowledge graph embeddings. The code is tested on public datasets which can be downloaded from <a href="https://github.com/HazyResearch/KGEmb">KGEmb</a>. To execute the code, follow the instructions in the <a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=300119">README.md</a> file. </p>

<p>For more info, please check the paper or feel free to contact the authors for any inquiries.</p>

<p>本项目为发表于KDD 2022的论文《Ultrahyperbolic Knowledge Graph Embeddings》的PyTorch实现。本代码用于复现方法UltraE的相关实验——UltraE是一种面向知识图谱嵌入（Knowledge Graph Embeddings）的几何嵌入方法。本代码已在可从<a href="https://github.com/HazyResearch/KGEmb">KGEmb</a>下载的公开数据集上完成测试。若需运行本代码，请参照<a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=300119">README.md</a>文件中的操作指引。</p><p>如需获取更多信息，请查阅原论文，或随时联系作者咨询相关问题。</p>