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RP-KGC:A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference

Wenying Guo Shengdong Du Jie Hu Fei Teng Yan Yang Tianrui Li

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：18-30,13.

大数据挖掘与分析（英文版）2025，Vol.8Issue(1)：18-30,13.DOI:10.26599/BDMA.2024.9020063

RP-KGC:A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference

Wenying Guo ¹Shengdong Du ¹Jie Hu ¹Fei Teng ¹Yan Yang ¹Tianrui Li¹

作者信息

1. School of Computing and Artificial Intelligence,with Engineering Research Center of Sustainable Urban Intelligent Transportation Affiliated with Ministry of Education||National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China
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摘要

关键词

Knowledge Graph Completion(KGC)/Bidirectional Encoder Representation from Transforms(BERT)fine-tuning/knowledge graph embedding

Key words

Knowledge Graph Completion(KGC)/Bidirectional Encoder Representation from Transforms(BERT)fine-tuning/knowledge graph embedding

引用本文复制引用

Wenying Guo,Shengdong Du,Jie Hu,Fei Teng,Yan Yang,Tianrui Li..RP-KGC:A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference[J].大数据挖掘与分析（英文版）,2025,8(1):18-30,13.

基金项目

This work was supported by the Sichuan Science and Technology Program(No.2024YFHZ0024)and the National Natural Science Foundation of China(No.62276215) （No.2024YFHZ0024）

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