Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study-Reference-Cited by-同舟云学术

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Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study

Published:2023-12-01 Issue:12 Volume:35 Page:12770-12784
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zeng Weixin¹^ORCID,Zhao Xiang¹^ORCID,Tan Zhen²^ORCID,Tang Jiuyang¹,Cheng Xueqi³^ORCID

Affiliation:

1. Laboratory for Big Data and Decision, National University of Defense Technology, Changsha, Hunan, China

2. Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha, Hunan, China

3. Institute of Computing Technology, CAS, Beijing, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10311056/10114983.pdf?arnumber=10114983

Reference70 articles.

1. Deep graph matching consensus;fey;Proc Int Conf Learn Representations,2020

2. Coordinated Reasoning for Cross-Lingual Knowledge Graph Alignment

3. Secure Stable Matching at Scale

4. Informed Multi-context Entity Alignment

5. ClusterEA: Scalable Entity Alignment with Stochastic Training and Normalized Mini-batch Similarities

Cited by 5 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. Locally-adaptive mapping for network alignment via meta-learning;Information Processing & Management;2024-09

2. Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract];2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

3. Semantic-Enhanced Knowledge Graph Completion;Mathematics;2024-01-31

4. Node Importance Estimation with Multiview Contrastive Representation Learning;International Journal of Intelligent Systems;2023-09-06

5. Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning;IEEE Transactions on Neural Networks and Learning Systems;2023

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