A differentiable first-order rule learner for inductive logic programming-Reference-Cited by-同舟云学术

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A differentiable first-order rule learner for inductive logic programming

Published:2024-06 Issue: Volume:331 Page:104108
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Gao Kun,Inoue Katsumi,Cao Yongzhi,Wang Hanpin

Funder

National Key Research and Development Program of China

Japan Society for the Promotion of Science

Core Research for Evolutional Science and Technology

National Natural Science Foundation of China

National Institute of Informatics

Ministry of Science and Technology of the People's Republic of China

Japan Science and Technology Agency

Publisher

Elsevier BV

Reference61 articles.

1. Stable and supported semantics in continuous vector spaces;Aspis,2020

2. Freebase: a collaboratively created graph database for structuring human knowledge;Bollacker,2008

3. Translating embeddings for modeling multi-relational data;Bordes,2013

4. On Approximate Reasoning Capabilities of Low-Rank Vector Spaces;Bouchard,2015

5. Forgetting to learn logic programs;Cropper,2020

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. Algebraic Connection Between Logic Programming and Machine Learning (Extended Abstract);Lecture Notes in Computer Science;2024

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