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InductWave论文提出用于大型知识图谱的归纳逻辑查询回答

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出了一种名为InductWave的新型小波嵌入方法，用于大型知识图谱上的归纳多跳逻辑查询回答。与需要训练时所有实体都存在的转导方法不同，InductWave可以推理未见过的实体，解决了实际应用中的资源限制。该模型展示了在较少消息传递层下具有竞争力的性能，能够在大规模图谱（如Wiki-KG）上进行评估，并在许多场景下超越最先进的模型。 AI

影响 这项研究可以实现对海量知识图谱更高效、更可扩展的逻辑推理，影响依赖于复杂数据分析和推理的领域。

排序理由 该集群包含一篇详细介绍知识图谱逻辑查询回答新方法的论文。

在 arXiv cs.AI 阅读 →

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InductWave论文提出用于大型知识图谱的归纳逻辑查询回答

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该集群包含一篇详细介绍知识图谱逻辑查询回答新方法的论文。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mayank Kharbanda, Michael Cochez, Rajiv Ratn Shah, Raghava Mutharaju ·

    InductWave：知识图谱上的归纳式多跳逻辑查询应答

    arXiv:2607.07422v1 Announce Type: new Abstract: Logical Multi-Hop Query Answering over Knowledge Graphs (KGs) can be formulated as querying, with an implicit completeness assumption. Current works mainly focus on Existential First Order Logic (EFO) queries. These EFO queries cont…

  2. arXiv cs.AI TIER_1 English(EN) · Raghava Mutharaju ·

    InductWave：知识图谱上的归纳式多跳逻辑查询应答

    Logical Multi-Hop Query Answering over Knowledge Graphs (KGs) can be formulated as querying, with an implicit completeness assumption. Current works mainly focus on Existential First Order Logic (EFO) queries. These EFO queries contain conjunction, disjunction, and negation opera…

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