OpenKE: An Open Toolkit for Knowledge Embedding
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/
EMNLP