Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Song, Xianzheng"'
Autor:
Zhang, Dalong, Song, Xianzheng, Hu, Zhiyang, Li, Yang, Tao, Miao, Hu, Binbin, Wang, Lin, Zhang, Zhiqiang, Zhou, Jun
GNN inference is a non-trivial task, especially in industrial scenarios with giant graphs, given three main challenges, i.e., scalability tailored for full-graph inference on huge graphs, inconsistency caused by stochastic acceleration strategies (e.
Externí odkaz:
http://arxiv.org/abs/2307.00228
Autor:
Zhang, Dalong, Huang, Xin, Liu, Ziqi, Hu, Zhiyang, Song, Xianzheng, Ge, Zhibang, Zhang, Zhiqiang, Wang, Lin, Zhou, Jun, Shuang, Yang, Qi, Yuan
Machine learning over graphs have been emerging as powerful learning tools for graph data. However, it is challenging for industrial communities to leverage the techniques, such as graph neural networks (GNNs), and solve real-world problems at scale
Externí odkaz:
http://arxiv.org/abs/2003.02454
Link prediction is widely used in a variety of industrial applications, such as merchant recommendation, fraudulent transaction detection, and so on. However, it's a great challenge to train and deploy a link prediction model on industrial-scale grap
Externí odkaz:
http://arxiv.org/abs/2002.12056
Akademický článek
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Autor:
Jun Zhou, Wang Lin, Dalong Zhang, Ge Zhibang, Huang Xin, Zhiqiang Zhang, Song Xianzheng, Ziqi Liu, Hu Zhiyang, Yuan Qi
Publikováno v:
Proceedings of the VLDB Endowment. 13:3125-3137
Machine learning over graphs has been emerging as powerful learning tools for graph data. However, it is challenging for industrial communities to leverage the techniques, such as graph neural networks (GNNs), and solve real-world problems at scale b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f8935195cf720cfb5789ce73f993741
https://doi.org/10.14778/3415478.3415539
https://doi.org/10.14778/3415478.3415539
Publikováno v:
IEEE BigData
Link prediction is widely used in a variety of industrial applications, such as merchant recommendation, fraudulent transaction detection, and so on. However, it's a great challenge to train and deploy a link prediction model on industrial-scale grap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67c5c39615ffccc7ede1dc95d42b67b4
http://arxiv.org/abs/2002.12056
http://arxiv.org/abs/2002.12056
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Advances in Image & Graphics Technologies; 2013, p1-10, 10p
Publikováno v:
Chinese Science Bulletin; Apr2006, Vol. 51 Issue 8, p897-901, 5p, 8 Graphs