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This model represents a reasoning process that works through iterative guidance by temporal logical rules.
Dec 15, 2021 · We address the task of link forecasting on temporal knowledge graphs and introduce TLogic, an explainable framework that is based on temporal logical rules.
[3] (TLmod) Bai, L., Yu, W., Chai, D., Zhao, W., & Chen, M. (2023). Temporal knowledge graphs reasoning with iterative guidance by temporal logical rules.
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The proposed framework provides both the interpretability of logic rule-based methods and the scalability of embedding-based methods.
Temporal knowledge graph reasoning with iterative guidance by temporal logical rules (Information Sciences 2023) [paper]; TFLEX:TemporalFeature-Logic ...
May 23, 2024 · Temporal Knowledge Graph Reasoning (TKGR) is the process of utilizing temporal information to capture complex relations within a Temporal ...
Missing: iterative guidance
Aug 1, 2023 · At present, researchers have proposed many methods to reason facts that do not exist in temporal knowledge graph using the existing information.
Temporal knowledge graphs reasoning with iterative guidance by temporal log- ical rules. Information Sciences, 621:22–35, 2023. [Barros et al., 2021] ...
Extrapolation reasoning on temporal knowledge graphs (TKGs) aims to forecast future facts based on past counterparts. There are two main challenges: (1) ...
Missing: guidance | Show results with:guidance
Through this iterative procedure, knowledge embodied in logic rules may be better transferred into the learned embeddings. We evaluate RUGE in link prediction ...