Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity-Reference-Cited by-同舟云学术

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Embedding Two-View Knowledge Graphs with Class Inheritance and Structural Similarity

Published:2024-08-24 Issue: Volume:34 Page:3931-3941
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Yeom Kyuhwan¹^ORCID,Yang Hyeongjun¹^ORCID,Park Gayeon²^ORCID,Jeon Myeongheon¹^ORCID,Ko Yunjeong¹^ORCID,Oh Byungkook³^ORCID,Lee Kyong-Ho¹^ORCID

Affiliation:

1. Computer Science, Yonsei University, Seoul, Republic of Korea

2. Artificial Intelligence, Yonsei University, Seoul, Republic of Korea

3. Computer Science and Engineering, Konkuk University, Seoul, Republic of Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671941

Reference44 articles.

1. Modeling heterogeneous hierarchies with relation-specific hyperbolic cones;Bai Yushi;Advances in Neural Information Processing Systems,2021

2. Ivana Bala?evic, Carl Allen, and Timothy Hospedales. 2019. Multi-relational poincaré graph embeddings. Curran Associates Inc., Red Hook, NY, USA.

3. Freebase

4. Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. Advances in neural information processing systems 26 (2013).

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