GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings

被引：0
|
作者：
Xie, Zhiwen [1 ]
Zhu, Runjie [2 ]
Liu, Jin [1 ]
Zhou, Guangyou [3 ]
Huang, Jimmy Xiangji [4 ]
Cui, Xiaohui [5 ]
机构：
[1] School of Computer Science, Wuhan University, Wuhan,430072, China
[2] Lassonde School of Engineering, York University, Toronto, Canada
[3] School of Computer Science, Central China Normal University, Wuhan,430079, China
[4] School of Information Technology, York University, Toronto, Canada
[5] School of Cyber Science and Engineering, Wuhan University, Wuhan,430072, China
来源：
Information Sciences | 2022年 / 608卷
关键词：
This work was supported by the National Natural Science Foundation of China under Grants 61972290 and 61972173; the National Key R&D Program of China under Grant 2018YFC1604000; the Funamental Research Funds for the Central Universities (No. CCNU22QN015). This work was also supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada; an NSERC CREATE award in ADERSIM 12 12; the York Research Chairs (YRC) program and an ORF-RE (Ontario Research Fund-Research Excellence) award in BRAIN Alliance 13 13 . The authors thank the anonymous reviewers and associate editor for their insightful comments.This work was supported by the National Natural Science Foundation of China under Grants 61972290 and 61972173; an NSERC CREATE award in ADERSIM12; the York Research Chairs (YRC) program and an ORF-RE (Ontario Research Fund-Research Excellence) award in BRAIN Alliance13. The authors thank the anonymous reviewers and associate editor for their insightful comments;
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页码：1557 / 1571
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