@inproceedings{xiao-etal-2016-transg,
    title = "{T}rans{G} : A Generative Model for Knowledge Graph Embedding",
    author = "Xiao, Han  and
      Huang, Minlie  and
      Zhu, Xiaoyan",
    editor = "Erk, Katrin  and
      Smith, Noah A.",
    booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = aug,
    year = "2016",
    address = "Berlin, Germany",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/P16-1219/",
    doi = "10.18653/v1/P16-1219",
    pages = "2316--2325"
}Markdown (Informal)
[TransG : A Generative Model for Knowledge Graph Embedding](https://preview.aclanthology.org/ingest-emnlp/P16-1219/) (Xiao et al., ACL 2016)
ACL
- Han Xiao, Minlie Huang, and Xiaoyan Zhu. 2016. TransG : A Generative Model for Knowledge Graph Embedding. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2316–2325, Berlin, Germany. Association for Computational Linguistics.