Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport-Reference-Cited by-同舟云学术

Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport

Published:2024-05-13 Issue: Volume:35 Page:2128-2137
ISSN:
Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Liu Yuhan¹^ORCID,Cao Zelin¹^ORCID,Gao Xing²^ORCID,Zhang Ji²^ORCID,Yan Rui³^ORCID

Affiliation:

1. Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China

2. Alibaba DAMO Academy, Hangzhou, China

3. Gaoling School of Artificial Intelligence, Renmin University of China & Engineering Research Center of Next-Generation Intelligent Search and Recommendation, Ministry of Education, Beijing, China

Funder

Intelligent Social Governance Platform, Major Innovation & Planning Interdisciplinary Platform for the ?Double-First Class? Initiative, Renmin University of China

National Natural Science Foundation of China

Beijing Outstanding Young Scientist Program

The Fundamental Research Funds for the Central Universities

The Research Funds of Renmin University of China.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3645565

Reference30 articles.

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3. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang. 2022. Geometry Interaction Knowledge Graph Embeddings. In AAAI Conference on Artificial Intelligence.

4. Otkge: Multi-modal knowledge graph embeddings via optimal transport;Cao Zongsheng;Advances in Neural Information Processing Systems,2022

5. Low-Dimensional Hyperbolic Knowledge Graph Embeddings