Embedding-based approximate query for knowledge graphOA
To solve the low efficiency of approximate queries caused by the large sizes of the knowledge graphs in the real world,an embedding-based approximate query method is proposed.First,the nodes in the query graph are classified …查看全部>>
Qiu Jingyi;Zhang Duxi;Song Aibo;Wang Honglin;Zhang Tianbo;Jin Jiahui;Fang Xiaolin;Li Yaqi
School of Computer Science and Engineering,Southeast University,Nanjing 211189,ChinaNingbo Power Supply Co.,State Grid Zhejiang Electric Power Co.,Ltd.,Ningbo 315000,ChinaSchool of Computer Science and Engineering,Southeast University,Nanjing 211189,ChinaSchool of Artificial Intelligence,Nanjing University of Information Science and Technology,Nanjing 210044,ChinaSchool of Computer Science and Engineering,Southeast University,Nanjing 211189,ChinaSchool of Computer Science and Engineering,Southeast University,Nanjing 211189,ChinaSchool of Computer Science and Engineering,Southeast University,Nanjing 211189,ChinaSchool of Computer Science and Engineering,Southeast University,Nanjing 211189,China
计算机与自动化
approximate queryknowledge graphembeddingdeep neural network
《Journal of Southeast University(English Edition)》 2024 (4)
P.417-424,8
The State Grid Technology Project(No.5108202340042A-1-1-ZN).
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