Flow to Candidate: Temporal Knowledge Graph Reasoning With Candidate-Oriented Relational Graph-Reference-Cited by-同舟云学术

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Flow to Candidate: Temporal Knowledge Graph Reasoning With Candidate-Oriented Relational Graph

Published:2024 Issue: Volume: Page:1-13
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Fan Shiqi¹^ORCID,Fan Guoxi²,Nie Hongyi²,Yao Quanming³,Liu Yang⁴^ORCID,Li Xuelong⁵^ORCID,Wang Zhen¹^ORCID

Affiliation:

1. School of Cybersecurity and the School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an, China

2. School of Mechanical Engineering and the School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an, China

3. Department of Electronic Engineering, Tsinghua University, Beijing, China

4. School of Artificial Intelligence, Optics and Electronics, Northwestern Polytechnical University, Xi’an, China

5. Institute of Artificial Intelligence (TeleAI), China Telecom, Beijing, China

Funder

National Key Research and Development Program of China

National Science Fund for Distinguished Young Scholars

National Natural Science Foundation of China

Technology Innovation Leading Program of Shaanxi

Fok Ying Tong Education Foundation

Fundamental Research Funds for the Central Universities

Tencent Foundation and Xplorer Prize

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/5962385/6104215/10596669.pdf?arnumber=10596669

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