Zobrazeno 1 - 10
of 139
pro vyhledávání: '"Wang, Daheng"'
Autor:
Huang, Zijie, Wang, Daheng, Huang, Binxuan, Zhang, Chenwei, Shang, Jingbo, Liang, Yan, Wang, Zhengyang, Li, Xian, Faloutsos, Christos, Sun, Yizhou, Wang, Wei
Publikováno v:
ACL 2023
Knowledge graph embeddings (KGE) have been extensively studied to embed large-scale relational data for many real-world applications. Existing methods have long ignored the fact many KGs contain two fundamentally different views: high-level ontology-
Externí odkaz:
http://arxiv.org/abs/2307.01933
Autor:
Zhao, Lei, Yin, Zili, Zeng, Xianghui, Fang, Wei, He, Xuan, Du, Xing, Li, Weixin, Wang, Daheng, Chen, Hui
Publikováno v:
In Chemical Engineering Journal 1 October 2024 497
Autor:
Li, Dongming, Li, Weixin, Gong, Cheng, He, Xuan, Wang, Daheng, Chen, Hui, Fang, Wei, Zeng, Xianghui, Du, Xing, Zhao, Lei
Publikováno v:
In Applied Surface Science 1 October 2024 669
Autor:
Zeng, Xianghui, Bu, Xuelin, Chen, Hui, Huang, Zhaohui, Fang, Wei, Wang, Daheng, He, Xuan, Du, Xing, Li, Weixin, Zhang, Haijun, Zhao, Lei
Publikováno v:
In Composites Part B December 2024 287
Autor:
Wang, Junjie, Zhao, Lei, Lin, Li, Du, Xing, He, Xuan, Zeng, Xianghui, Li, Weixin, Chen, Hui, Fang, Wei, Wang, Daheng, Chen, Zhen
Publikováno v:
In Surfaces and Interfaces July 2024 50
Learning to predict missing links is important for many graph-based applications. Existing methods were designed to learn the association between observed graph structure and existence of link between a pair of nodes. However, the causal relationship
Externí odkaz:
http://arxiv.org/abs/2106.02172
Autor:
Zeng, Xianghui, Chen, Hui, Fang, Wei, Huang, Zhaohui, Wang, Daheng, He, Xuan, Du, Xing, Li, Weixin, Zhang, Haijun, Zhao, Lei
Publikováno v:
In Chemical Engineering Journal 15 May 2024 488
Publikováno v:
In Ceramics International 1 April 2024 50(7) Part B:11928-11938
Autor:
Wang, Daheng, Shiralkar, Prashant, Lockard, Colin, Huang, Binxuan, Dong, Xin Luna, Jiang, Meng
Information extraction from semi-structured webpages provides valuable long-tailed facts for augmenting knowledge graph. Relational Web tables are a critical component containing additional entities and attributes of rich and diverse knowledge. Howev
Externí odkaz:
http://arxiv.org/abs/2102.09460
Autor:
Zhao, Lei, Huang, Zhaohui, Zeng, Xianghui, He, Xuan, Wang, Daheng, Fang, Wei, Li, Weixin, Du, Xing, Chen, Hui
Publikováno v:
In Journal of Colloid And Interface Science January 2024 653 Part B:1236-1245