ConvHiA: convolutional network with hierarchical attention for knowledge graph multi-hop reasoning-Reference-Cited by-同舟云学术

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ConvHiA: convolutional network with hierarchical attention for knowledge graph multi-hop reasoning

Published:2023-01-10 Issue:7 Volume:14 Page:2301-2315
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Li Dengao,Miao Shuyi,Zhao Baofeng,Zhou Yu,Feng Ding,Zhao Jumin,Niu Xupeng

Funder

Shanxi Province key technology and generic technology R &D project

National Natural Science Foundation of China

National Major Scientific Research Instrument Development Project

The General Object of National Natural Science Foundation

Graduate Education Innovation Project of Shanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

https://link.springer.com/content/pdf/10.1007/s13042-022-01764-8.pdf

Reference42 articles.

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2. Auer S, Bizer C, Kobilarov G, Lehmann J, Cyganiak R, Ives Z (2007) Dbpedia: a nucleus for a web of open data. In: Proceedings of the 6th international the semantic web and 2nd Asian conference on Asian semantic web conference, 2007, pp 722–735

3. Miller GA (1995) Wordnet: a lexical database for english. Commun Acm 38(11):39–41

4. Bollacker K, Evans C, Paritosh P, Sturge T, Taylor J (2008) Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on management of data, pp 1247–1250

5. Xiong W, Yu M, Chang S, Guo X, Wang WY (2019) Improving question answering over incomplete KBs with knowledge-aware reader. In: Proceedings of the 57th annual meeting of the association for computational linguistics, pp 4258–4264

Cited by 3 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. Meta-learning framework with updating information flow for enhancing inductive prediction;Knowledge-Based Systems;2024-06

2. Knowledge graph completion model based on hyperbolic hierarchical attention network;International Journal of Machine Learning and Cybernetics;2024-04-10

3. Debiased graph contrastive learning based on positive and unlabeled learning;International Journal of Machine Learning and Cybernetics;2023-12-18

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