A Reinforcement Learning Approach for Graph Rule Learning

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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Bibliographic Details
Main Authors: Zhenzhen Mai, Wenjun Wang, Xueli Liu, Xiaoyang Feng, Jun Wang, Wenzhi Fu
Format: Article
Language:English
Published: Tsinghua University Press 2025-02-01
Series:Big Data Mining and Analytics
Subjects:
graph rules
reinforcement learning (rl)
rule learning
Online Access:https://www.sciopen.com/article/10.26599/BDMA.2024.9020070
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