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;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1557 / 1571
相关论文
共 50 条
  • [1] GFCNet: Utilizing graph feature collection networks for coronavirus knowledge graph embeddings
    Xie, Zhiwen
    Zhu, Runjie
    Liu, Jin
    Zhou, Guangyou
    Huang, Jimmy Xiangji
    Cui, Xiaohui
    INFORMATION SCIENCES, 2022, 608 : 1557 - 1571
  • [2] Ultrahyperbolic Knowledge Graph Embeddings
    Xiong, Bo
    Zhu, Shichao
    Nayyeri, Mojtaba
    Xu, Chengjin
    Pan, Shirui
    Zhou, Chuan
    Staab, Steffen
    PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 2130 - 2139
  • [3] Bias in Knowledge Graph Embeddings
    Bourli, Styliani
    Pitoura, Evaggelia
    2020 IEEE/ACM INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL NETWORKS ANALYSIS AND MINING (ASONAM), 2020, : 6 - 10
  • [4] Hypernetwork Knowledge Graph Embeddings
    Balazevic, Ivana
    Allen, Carl
    Hospedales, Timothy M.
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS, 2019, 11731 : 553 - 565
  • [5] Quaternion Knowledge Graph Embeddings
    Zhang, Shuai
    Tay, Yi
    Yao, Lina
    Liu, Qi
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), 2019, 32
  • [6] Debiasing knowledge graph embeddings
    Fisher, Joseph
    Mittal, Arpit
    Palfrey, Dave
    Christodoulopoulos, Christos
    PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP), 2020, : 7332 - 7345
  • [7] Heterogeneous graph neural networks with denoising for graph embeddings
    Dong, Xinrui
    Zhang, Yijia
    Pang, Kuo
    Chen, Fei
    Lu, Mingyu
    KNOWLEDGE-BASED SYSTEMS, 2022, 238
  • [8] Connecting Embeddings Based on Multiplex Relational Graph Attention Networks for Knowledge Graph Entity Typing
    Zhao, Yu
    Zhou, Han
    Zhang, Anxiang
    Xie, Ruobing
    Li, Qing
    Zhuang, Fuzhen
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (05) : 4608 - 4620
  • [9] Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks
    Zhang, Ningyu
    Deng, Shumin
    Sun, Zhanlin
    Wang, Guanying
    Chen, Xi
    Zhang, Wei
    Chen, Huajun
    2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1, 2019, : 3016 - 3025
  • [10] Towards Understanding the Impact of Graph Structure on Knowledge Graph Embeddings
    Dave, Brandon
    Christou, Antrea
    Shimizu, Cogan
    NEURAL-SYMBOLIC LEARNING AND REASONING, PT II, NESY 2024, 2024, 14980 : 41 - 50
12345