One-shot knowledge graph completion based on disentangled representation learning-Reference-Cited by-同舟云学术

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One-shot knowledge graph completion based on disentangled representation learning

Published:2024-08-12 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Zhang Youmin,Sun Lei,Wang Ye^ORCID,Liu Qun,Liu Li

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education

Science and Technology Research Program of Chongqing Municipal Education Commission

Doctoral Innovation Talent Program of Chongqing University of Posts and Telecommunications

Shenzhen Research Institute, City University of Hong Kong

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00521-024-10236-9.pdf

Reference53 articles.

1. Bao J, Duan N, Zhou M, Zhao T (2014) Knowledge-based question answering as machine translation. In: Proceedings of the 52nd annual meeting of the association for computational linguistics, vol 1, Long Papers, pp 967–976

2. Dong L, Wei F, Zhou M, Xu K (2015) Question answering over freebase with multi-column convolutional neural networks. In: Proceedings of the 53rd annual meeting of the association for computational linguistics and the 7th international joint conference on natural language processing, vol 1, Long Papers, pp 260–269

3. Wang X, He X, Cao Y, Liu M, Chua T-S (2019) Kgat: Knowledge graph attention network for recommendation. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining, pp 950–958

4. Wang H, Zhang F, Zhao M, Li W, Xie X, Guo M (2019) Multi-task feature learning for knowledge graph enhanced recommendation. In: The world wide web conference, pp 2000–2010

5. Bollacker K, Evans C, Paritosh P, Sturge T, Taylor J (2008) Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on management of data, pp 1247–1250

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