A Reinforcement Learning Approach for Graph Rule Learning
We study the problem of learning rules for graphs. Traditional methods often suffer from large search spaces due to the enumeration of all candidate rules. Although some recent neural logic methods are more efficient in learning rules, they are generally restricted to learning chain-like rules with...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2025-02-01
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| Series: | Big Data Mining and Analytics |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020070 |
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