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English(EN) RelBall: Relation Ball with Quaternion Rotation for Knowledge Graph Completion

新的RelBall模型通过新颖的关系建模增强知识图谱补全能力

研究人员推出了一种名为RelBall的新型模型,旨在通过解决现有方法的局限性来改进知识图谱补全。RelBall扩展了Rotate3D模型,通过引入模变换进行分层表示,并采用以尾实体为中心的“关系球”来处理包括一对多在内的各种关系类型。实验表明,在链接预测任务中,RelBall相对于基线模型取得了有竞争力的性能。 AI

影响 这项研究可能带来更全面、更准确的知识图谱,从而改进依赖结构化数据的AI系统。

排序理由 这是一篇详细介绍用于知识图谱补全的新模型的学术论文。

在 arXiv cs.AI 阅读 →

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新的RelBall模型通过新颖的关系建模增强知识图谱补全能力

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报道来源 [3]

  1. arXiv cs.AI TIER_1 English(EN) · Zihao Zheng, Borui Cai, Yao Zhao, Keshav Sood, Yong Xiang ·

    超越三元组合理性:知识图谱中的关系集补全

    arXiv:2606.29860v1 Announce Type: new Abstract: Knowledge graphs (KGs) organize real-world knowledge as triplets and underpin many downstream applications. Due to their inherent incompleteness, knowledge graph completion (KGC) is widely studied and is typically formulated as trip…

  2. arXiv cs.AI TIER_1 English(EN) · Yike Liu, Peijia Xie, Chao He, Huiling Zhu ·

    RelBall:用于知识图谱补全的四元数旋转关系球

    arXiv:2606.27967v1 Announce Type: new Abstract: Real-world knowledge graphs are often incomplete, lacking many valid facts. Knowledge Graph Completion (KGC) aims to predict missing links using known triples, thereby enhancing graph coverage. A key challenge is modeling diverse re…

  3. arXiv cs.AI TIER_1 English(EN) · Huiling Zhu ·

    RelBall:基于四元数旋转的关系球用于知识图谱补全

    Real-world knowledge graphs are often incomplete, lacking many valid facts. Knowledge Graph Completion (KGC) aims to predict missing links using known triples, thereby enhancing graph coverage. A key challenge is modeling diverse relational patterns such as symmetry, antisymmetry…