Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Weixin, Zeng"'
Publikováno v:
Journal of Materials Research and Technology, Vol 31, Iss , Pp 2217-2225 (2024)
Three new rare-earth high-entropy oxides with compositions of (Y1/7La1/7Nd1/7Sm1/7Gd1/7Yb1/7Lu1/7)2O3 (7HEO), (Y1/8La1/8Nd1/8Sm1/8Gd1/8Yb1/8Lu1/8Ce1/8)2O3 (8HEO) and (Y1/10La1/10Nd1/10Sm1/10Gd1/10Yb1/10Lu1/10Ce1/10Zr1/10Hf1/10)2O3 (10HEO) were prepar
Externí odkaz:
https://doaj.org/article/be503e91ab2a418b98bf4f62372fabd1
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in different knowledge graphs. Entity alignment represents an essential step in enhancing the quality of knowle
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
ObjectiveThe study aims to investigate the protective effect of Mingjing granule (MG) in a fibrovascular membrane rat model of neovascular age-related macular degeneration (nAMD) and explore the underlying mechanism.MethodsThe nAMD fibrovascular memb
Externí odkaz:
https://doaj.org/article/9e9b85959f5b487780bfdebcdf47b496
Publikováno v:
Mathematics, Vol 12, Iss 15, p 2318 (2024)
Conflict resolution for knowledge graphs (KGs) is a critical technique in knowledge fusion, ensuring the resolution of conflicts between existing KGs and external knowledge while maintaining post-fusion accuracy. However, current approaches often enc
Externí odkaz:
https://doaj.org/article/736bb1d8cf1f40b8b8fb01016174ec6b
Publikováno v:
Applied Sciences, Vol 14, Iss 5, p 2044 (2024)
The inductive relation prediction of knowledge graphs, as an important research topic, aims at predicting the missing relation between unknown entities with many real-world applications. Existing approaches toward this problem mostly use enclosing su
Externí odkaz:
https://doaj.org/article/4cc7d8a82f5d4e879fb5c58e9b138376
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7668 (2022)
Computing the similarity between graphs is a longstanding and challenging problem with many real-world applications. Recent years have witnessed a rapid increase in neural-network-based methods, which project graphs into embedding space and devise en
Externí odkaz:
https://doaj.org/article/778c7cd0dc9a4736840a05b71e3eba19
Publikováno v:
International Journal on Semantic Web and Information Systems. 19:1-17
Entity alignment aims to identify equivalent entity pairs from different knowledge graphs (KGs). Recently, aligning temporal knowledge graphs (TKGs) that contain time information has aroused increasingly more interest, as the time dimension is widely
Autor:
Nan Zhang, Nannan Shi, Siyu Li, Guoxiu Liu, Yonglong Han, Li Liu, Xin Zhang, Xiangwen Kong, Bihua Zhang, Wenpeng Yuan, Yi Liu, Deqiang Deng, Minxia Zheng, Ying Zhang, Lihua Li, Xiaoping Wang, Jiankun Wu, Xiaolan Lin, Hua Nian, Xiaohong Wu, Hua Wang, Fang Liu, Hongli Wang, Hongshun Wang, Ying Liu, Weixin Zeng, Manqin Yang, Yanping Wang, Huaqiang Zhai, Yongyan Wang
Publikováno v:
Frontiers in Pharmacology, Vol 11 (2020)
Objective: This research aims to analyze the application regularity of Chinese patent medicine during the COVID-19 epidemic by collecting the names of the top three Chinese patent medicines used by 24 hospitals in 14 provinces of China in four time p
Externí odkaz:
https://doaj.org/article/cf39d3aebb464c218baaab7723cd61a2
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-14
Publikováno v:
IEEE Access, Vol 6, Pp 16035-16045 (2018)
List-only entity linking (EL) is the task of mapping ambiguous mentions in texts to target entities in a group of entity lists. Different from traditional EL task, which leverages rich semantic relatedness in knowledge bases to improve linking accura
Externí odkaz:
https://doaj.org/article/0f5530192de14292b63414afae63c610