Knowledge graph extrapolation method and system based on multilayer path perception
The invention relates to a knowledge graph extrapolation method and system based on multilayer path awareness. The knowledge graph extrapolation method comprises the following steps: learning embedded representation of entities, relationships and timestamps by applying a relational graph convolution...
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Format | Patent |
Language | Chinese English |
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07.03.2023
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Abstract | The invention relates to a knowledge graph extrapolation method and system based on multilayer path awareness. The knowledge graph extrapolation method comprises the following steps: learning embedded representation of entities, relationships and timestamps by applying a relational graph convolutional network encoder, and capturing dynamic evolution of facts; designing an emerging task processing unit to construct a multi-layer entity set, and matching corresponding historical relevancy for the entity sets of different layers; dividing the prediction task into a plurality of reasoning scenes, and accessing each reasoning scene to a processing unit of a corresponding level to complete division of a multi-layer historical related entity set; a multi-classification task solving method is used for obtaining prediction probability distribution of a target entity, the entity with the highest probability serves as a prediction answer to complete an extrapolation task of the time sequence knowledge graph, and the pre |
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AbstractList | The invention relates to a knowledge graph extrapolation method and system based on multilayer path awareness. The knowledge graph extrapolation method comprises the following steps: learning embedded representation of entities, relationships and timestamps by applying a relational graph convolutional network encoder, and capturing dynamic evolution of facts; designing an emerging task processing unit to construct a multi-layer entity set, and matching corresponding historical relevancy for the entity sets of different layers; dividing the prediction task into a plurality of reasoning scenes, and accessing each reasoning scene to a processing unit of a corresponding level to complete division of a multi-layer historical related entity set; a multi-classification task solving method is used for obtaining prediction probability distribution of a target entity, the entity with the highest probability serves as a prediction answer to complete an extrapolation task of the time sequence knowledge graph, and the pre |
Author | LIU KANGZHENG CHEN MINGTAO JIN HAI ZHAO FENG |
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DocumentTitleAlternate | 一种基于多层路径感知的知识图谱外推方法及系统 |
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Snippet | The invention relates to a knowledge graph extrapolation method and system based on multilayer path awareness. The knowledge graph extrapolation method... |
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Title | Knowledge graph extrapolation method and system based on multilayer path perception |
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