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ACDm: Autoregressive-conditioned diffusion model for future state generation in temporal knowledge graph reasoning

delete2025-12-02
delete0
PRE
AI
Y
Ying Cui
Y
Yancong Li
X
Xiao Song *
刘亦石 封面图
刘亦石 (Yishi Liu)
Z
Zilun Zhou
DOI：10.1016/j.eswa.2025.130405delete
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摘要

摘要

En 中文
• 提出了一种自回归条件扩散模型（ACDm）。 • ACDm 为时序知识图谱推理生成未来状态。 • ACDm 设计为基于历史信息的扩散过程。 • 实验表明，我们的方法在真实数据上优于几种强方法。

期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
3.0W
被引数:
10.2W

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引用论文

引用论文

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