Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules

Mengya Wang, Erhu Rong, Hankui Zhuo, Huiling Zhu. Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules. In Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi, editors, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II. Volume 10938 of Lecture Notes in Computer Science, pages 141-153, Springer, 2018. [doi]

@inproceedings{WangRZZ18,
  title = {Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules},
  author = {Mengya Wang and Erhu Rong and Hankui Zhuo and Huiling Zhu},
  year = {2018},
  doi = {10.1007/978-3-319-93037-4_12},
  url = {https://doi.org/10.1007/978-3-319-93037-4_12},
  researchr = {https://researchr.org/publication/WangRZZ18},
  cites = {0},
  citedby = {0},
  pages = {141-153},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II},
  editor = {Dinh Q. Phung and Vincent S. Tseng and Geoffrey I. Webb and Bao Ho and Mohadeseh Ganji and Lida Rashidi},
  volume = {10938},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-93037-4},
}