Towards Fine-grained Concept Generation-Reference-Cited by-同舟云学术

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Towards Fine-grained Concept Generation

Published:2021 Issue: Volume: Page:1-1
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Li Chenguang¹,Liang Jiaqing²,Xiao Yanghua³,Jiang Haiyun⁴

Affiliation:

1. Computer Science and Technology, Fudan University, 12478 Shanghai, Shanghai, China, (e-mail: cgli17@fudan.edu.cn)

2. School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: l.j.q.light@gmail.com)

3. School of Computer Science, Fudan University, Shanghai, ShangHai, China, (e-mail: shawyh@fudan.edu.cn)

4. Computer Science and Technology, Fudan University, Shanghai, Shanghai, China, (e-mail: 16110240020@fudan.edu.cn)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/4358933/09409694.pdf?arnumber=9409694

Cited by 1 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. SFCA: A Scalable Formal Concepts Driven Architecture for Multi-Field Knowledge Graph Completion;Applied Sciences;2023-06-05

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