RuMER-RL: A hybrid framework for sparse knowledge graph explainable reasoning-Reference-Cited by-同舟云学术

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RuMER-RL: A hybrid framework for sparse knowledge graph explainable reasoning

Published:2024-10 Issue: Volume:680 Page:121144
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Zeng Zefan^ORCID,Cheng Qing,Si Yuehang,Liu Zhong

Funder

National University of Defense Technology

Publisher

Elsevier BV

Reference48 articles.

1. Kgat: knowledge graph attention network for recommendation;Wang,2019

2. Answering natural language questions by subgraph matching over knowledge graphs;Hu;IEEE Trans. Knowl. Data Eng.,2018

3. Commonsense knowledge aware conversation generation with graph attention;Zhou,2018

4. Survey of interpretable reasoning on knowledge graphs;Hou;Chin. J. Softw.,2022

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