OpenKE: An Open Toolkit for Knowledge Embedding
Xu Han, Shulin Cao, Xin Lv, Yankai Lin, Zhiyuan Liu, Maosong Sun, Juanzi Li · 2018
We release an open toolkit for knowledge embedding (OpenKE), which provides a unified framework and various fundamental models to embed knowledge graphs into a continuous low-dimensional space.OpenKE prioritizes operational efficiency to support quick model validation and large-scale knowledge representation learning.Meanwhile, OpenKE maintains sufficient modularity and extensibility to easily incorporate new models into the framework.Besides the toolkit, the embeddings of some existing large-scale knowledge graphs pre-trained by OpenKE are also available, which can be directly applied for many applications including information retrieval, personalized recommendation and question answering.The toolkit, documentation, and pre-trained embeddings are all released on http://openke.thunlp.org/.