VN Network: Embedding Newly Emerging Entities with Virtual Neighbors-Reference-Cited by-同舟云学术

VN Network: Embedding Newly Emerging Entities with Virtual Neighbors

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Author:

He Yongquan¹,Wang Zhihan²,Zhang Peng³,Tu Zhaopeng⁴,Ren Zhaochun²

Affiliation:

1. University of Chinese Academy of Sciences & Chinese Academy of Sciences, Beijing, China

2. Shandong University, Shandong, China

3. Chinese Academy of Sciences, Beijing, China

4. Tencent AI Lab, Beijing, China

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Key R&D Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411865

Reference35 articles.

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4. Xin Dong Evgeniy Gabrilovich Geremy Heitz Wilko Horn Ni Lao Kevin Murphy Thomas Strohmann Shaohua Sun and Wei Zhang. 2014. Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In SIGKDD. 601--610. https://doi.org/10.1145/2623330.2623623 Xin Dong Evgeniy Gabrilovich Geremy Heitz Wilko Horn Ni Lao Kevin Murphy Thomas Strohmann Shaohua Sun and Wei Zhang. 2014. Knowledge vault: a web-scale approach to probabilistic knowledge fusion. In SIGKDD. 601--610. https://doi.org/10.1145/2623330.2623623

5. Fast rule mining in ontological knowledge bases with AMIE $$+$$ +

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