ParaGraphE: A Library for Parallel Knowledge Graph Embedding

@article{Niu2017ParaGraphEAL,
  title={ParaGraphE: A Library for Parallel Knowledge Graph Embedding},
  author={Xiao-Fan Niu and Wu-Jun Li},
  journal={CoRR},
  year={2017},
  volume={abs/1703.05614}
}
Knowledge graph embedding aims at translating the knowledge graph into numerical representations by transforming the entities and relations into continuous low-dimensional vectors. Recently, many methods [1, 5, 3, 2, 6] have been proposed to deal with this problem, but existing single-thread implementations of them are time-consuming for large-scale… CONTINUE READING