Rule Learning over Knowledge Graphs: A Review
Compared to black-box neural networks, logic rules express explicit knowledge, can provide human-understandable explanations for reasoning processes, and have found their wide application in knowledge graphs and other downstream tasks. As extracting rules manually from large knowledge graphs is labo...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
2023-12-01
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Series: | Transactions on Graph Data and Knowledge |
Subjects: | |
Online Access: | https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol001/tgdk-vol001-issue001/TGDK.1.1.7/TGDK.1.1.7.pdf |