Weighted Knowledge Graph Embedding-Reference-Cited by-同舟云学术

Weighted Knowledge Graph Embedding

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
Short-container-title:

Author:

Zhang Zhao¹^ORCID,Guan Zhanpeng²^ORCID,Zhang Fuwei²^ORCID,Zhuang Fuzhen³^ORCID,An Zhulin¹^ORCID,Wang Fei¹^ORCID,Xu Yongjun¹^ORCID

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

2. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

3. Institute of Artificial Intelligence, Beihang University & Zhongguancun Laboratory, Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591784

Reference58 articles.

1. TuckER: Tensor Factorization for Knowledge Graph Completion

2. Freebase

3. 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 , Vol. 26 ( 2013 ). 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, Vol. 26 (2013).

4. Coresets via bilevel optimization for continual learning and streaming;Borsos Zalán;Advances in Neural Information Processing Systems,2020

5. Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Large-scale knowledge graph representation learning;Knowledge and Information Systems;2024-05-29

2. Large Scale Knowledge Graph Representation Learning;2024-03-07