About us

---

OpenKE is organized and developed by THUNLP.

Major source contributions and maintenance come from

Xu Han [home page] , phd, Natural Language Processing Lab, Tsinghua University, Beijing, China.

Yankai Lin [home page], phd, Natural Language Processing Lab, Tsinghua University, Beijing, China.

Ruobing Xie [home page], master, Natural Language Processing Lab, Tsinghua University, Beijing, China.

Zhiyuan Liu [home page], assistant professor, Natural Language Processing Lab, Tsinghua University, Beijing, China.

Maosong Sun, professor, Natural Language Processing Lab, Tsinghua University, Beijing, China.

Related Works

---

Models of the framework are based on the following papers:

• A Three-Way Model for Collective Learning on Multi-Relational Data. Nickel et al. Proceedings of ICML 2011.
• Translating Embeddings for Modeling Multi-relational Data. Bordes et al. Proceedings of NIPS 2013.
• Knowledge Graph Embedding by Translating on Hyperplanes. Wang et al. Proceedings of AAAI, 2014.
• Learning Entity and Relation Embeddings for Knowledge Graph Completion. Lin et al. Proceedings of AAAI, 2015.
• Knowledge Graph Embedding via Dynamic Mapping Matrix. Ji et al. Proceedings of ACL 2015.
• Embedding Entities and Relations for Learning and Inference in Knowledge Bases. Yang et al. Proceedings of ICLR 2015.
• Holographic Embeddings of Knowledge Graphs. Nickel et al. Proceedings of AAAI 2016.
• Knowledge Graph Completion with Adaptive Sparse Transfer Matrix. Ji et al. Proceedings of AAAI 2016.
• Complex Embeddings for Simple Link Prediction. Trouillon et al. Proceedings of ICML 2016.

Contact with us

---

Our work is free for all universities, research institutions, enterprises, and their research work.

We provide our work and codes on the website. If you want to take them for use, please confirm the license.

All comments are welcome, and you can contact us via email. If possible, we will reply your email in time. To create an issue on GitHub is a more effective way to report bugs and feature requests.

License (MIT)

---

Copyright (c) 2017 THUNLP

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.