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pro vyhledávání: '"Shen, Yinghan"'
Autor:
Jiang, Xuhui, Shen, Yinghan, Shi, Zhichao, Xu, Chengjin, Li, Wei, Li, Zixuan, Guo, Jian, Shen, Huawei, Wang, Yuanzhuo
Entity Alignment (EA) is vital for integrating diverse knowledge graph (KG) data, playing a crucial role in data-driven AI applications. Traditional EA methods primarily rely on comparing entity embeddings, but their effectiveness is constrained by t
Externí odkaz:
http://arxiv.org/abs/2402.15048
Autor:
Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Sun, Xun, Tang, Lumingyuan, Wang, Saizhuo, Chen, Zhongwu, Wang, Yuanzhuo, Guo, Jian
Knowledge graphs (KGs) are structured representations of diversified knowledge. They are widely used in various intelligent applications. In this article, we provide a comprehensive survey on the evolution of various types of knowledge graphs (i.e.,
Externí odkaz:
http://arxiv.org/abs/2310.04835
Autor:
Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Wang, Yuanzhuo, Su, Fenglong, Sun, Fei, Li, Zixuan, Shi, Zhichao, Guo, Jian, Shen, Huawei
The flourishing of knowledge graph applications has driven the need for entity alignment (EA) across KGs. However, the heterogeneity of practical KGs, characterized by differing scales, structures, and limited overlapping entities, greatly surpasses
Externí odkaz:
http://arxiv.org/abs/2304.03468
Akademický článek
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Autor:
Shen, Yinghan, Jiang, Xuhui, Li, Zijian, Wang, Yuanzhuo, Xu, Chengjin, Shen, Huawei, Cheng, Xueqi
Publikováno v:
In Neural Networks January 2023 158:142-153
Akademický článek
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Autor:
Yang, Jingyi, Lin, Shiyu, Shen, Yinghan, Ye, Jingtao, Jiang, Xiamin, Li, Sheng, Jiang, Maowang
Publikováno v:
Plant Molecular Biology; Oct2024, Vol. 114 Issue 5, p1-18, 18p
Autor:
Peng, Maoyingzang, Lin, Shiyu, Shen, Yinghan, Peng, Ruibing, Li, Sheng, Jiang, Xiamin, Jiang, Maowang
Publikováno v:
Journal of Applied Phycology; Aug2024, Vol. 36 Issue 4, p1667-1678, 12p
Publikováno v:
Sustainability; Volume 15; Issue 9; Pages: 7688
Enhancing the effectiveness of green development of the agricultural trade economy with green finance is a practical need to promote the healthy development of agricultural trade. This manuscript empirically analyzes the impact of green finance on Ch
Autor:
Jiang, Xuhui, Xu, Chengjin, Shen, Yinghan, Su, Fenglong, Wang, Yuanzhuo, Sun, Fei, Li, Zixuan, Shen, Huawei
The development of knowledge graph (KG) applications has led to a rising need for entity alignment (EA) between heterogeneous KGs that are extracted from various sources. Recently, graph neural networks (GNNs) have been widely adopted in EA tasks due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ba682806d62d37b13e9519d78b685a