期刊论文

Zhou, GY

英文

Expert Systems with Applications

0957-4174

2023

234

121086

10.1016/j.eswa.2023.121086

This work was supported by National Natural Science Foundation of China (No. 61972173 ), the Nature Science Foundation of Hubei Province for Distinguished Young Scholars (No. 2023AFA096 ), the Fundamental Research Funds for the Central Universities, China (No. CCNU22QN015 ), and the Wuhan Knowledge Innvoation Project (No. 2022010801010278 ). This research was also supported in part by the research grant from Natural Sciences and Engineering Research Council (NSERC) of Canada and York Research Chairs (YRC) program ][http://dx.doi.org/10.13039/501100000038].

本校为第一且通讯机构

Few-shot knowledge graph completion (FKGC) aims to predict the missing parts of the query triplet based on a small number of known samples. To solve the above task, many existing approaches enhance entity embedding by encoding local neighbor information and obtain few-shot relational representations by encoding support triples. Although these previous studies have achieved promising results, they still suffer from the following two challenges: (1) Remote neighbor contains rich semantic information, how to effectively encode remote neighbor info...