Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery-Reference-Cited by-同舟云学术

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Theoretical Rule-based Knowledge Graph Reasoning by Connectivity Dependency Discovery

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Joint Conference on Neural Networks (IJCNN)
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Author:

Zhang Canlin¹,Hsu Chun-Nan²,Katsis Yannis³,Kim Ho-Cheol³,Vazquez-Baeza Yoshiki⁴

Affiliation:

1. Circulo Health (present) Center of Microbiome Innovation University of California,San Diego (sponsor),Columbus,US

2. Center for Research in Biological Systems, University of California,San Diego,La Jolla,US

3. IBM Research-Almaden,San Jose,US

4. University of California,San Diego,La Jolla,US

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9891857/9889787/09891938.pdf?arnumber=9891938

Reference40 articles.

1. Reinforcement Learning: A Survey

2. Scikit-learn: Machine learning in python;pedregosa;Journal of Machine Learning Research,2011

3. Complex embeddings for simple link prediction;trouillon;Proceedings of the 33 rd International Conference on Machine Learning (ICML),0

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1. Optimize Rule Mining Based on Constraint Learning in Knowledge Graph;Lecture Notes in Computer Science;2024

2. Neuro-Logic Learning for Relation Reasoning over Event Knowledge Graph;2023 IEEE International Conference on Intelligence and Security Informatics (ISI);2023-10-02

3. Natural Language Processing Pretraining Language Model for Computer Intelligent Recognition Technology;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-06-20

4. Virtual Reality Human–Computer Interactive English Education Experience System Based on Mobile Terminal;International Journal of Human–Computer Interaction;2023-03-23

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