Multi-modal graph learning for disease prediction

被引:0
|
作者
Zheng, Shuai [1 ,2 ]
Zhu, Zhenfeng [1 ,2 ]
Liu, Zhizhe [1 ,2 ]
Guo, Zhenyu [1 ,2 ]
Liu, Yang [1 ,2 ,3 ]
Zhao, Yao [1 ,2 ]
机构
[1] Institute of Information Science, Beijing Jiaotong University, Beijing, China
[2] Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing, China
[3] School of Information Science and Engineering, Hebei North University, Zhangjiakou, China
来源
arXiv | 2021年
关键词
Compendex;
D O I
暂无
中图分类号
学科分类号
摘要
Decision support systems - Diagnosis - Forecasting - Learning systems - Medical applications - Medical imaging
引用
收藏
相关论文
共 50 条
  • [21] MADP: Multi-modal Sequence Learning for Alzheimer's Disease Prediction with Missing Data
    Wang, Yudie
    Wang, Zirui
    Gong, Huiyun
    Wang, Sanwang
    Li, Mingzhe
    Dong, Jian
    GENERALIZING FROM LIMITED RESOURCES IN THE OPEN WORLD, GLOW-IJCAI 2024, 2024, 2160 : 93 - 103
  • [22] CureGraph: Contrastive multi-modal graph representation learning for urban living circle health profiling and prediction
    Li, Jinlin
    Zhou, Xiao
    ARTIFICIAL INTELLIGENCE, 2025, 340
  • [23] MultiJAF: Multi-modal joint entity alignment framework for multi-modal knowledge graph
    Cheng, Bo
    Zhu, Jia
    Guo, Meimei
    NEUROCOMPUTING, 2022, 500 : 581 - 591
  • [24] TMac: Temporal Multi-Modal Graph Learning for Acoustic Event Classification
    Liu, Meng
    Liang, Ke
    Hu, Dayu
    Yu, Hao
    Liu, Yue
    Meng, Lingyuan
    Tu, Wenxuan
    Zhou, Sihang
    Liu, Xinwang
    PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2023, 2023, : 3365 - 3374
  • [25] Multi-modal Graph Contrastive Learning for Micro-video Recommendation
    Yi, Zixuan
    Wang, Xi
    Ounis, Iadh
    Macdonald, Craig
    PROCEEDINGS OF THE 45TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '22), 2022, : 1807 - 1811
  • [26] A Zero-shot Learning Method with a Multi-modal Knowledge Graph
    Zhang, Yuhong
    Shu, Haitao
    Bu, Chenyang
    Hu, Xuegang
    2022 IEEE 34TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI, 2022, : 391 - 395
  • [27] Multi-Modal Deep Learning for the Thickness Prediction of Blood Clot
    Moon, Jiseon
    Ahn, Sangil
    Joo, Min Gyu
    Baac, Hyoung Won
    Shin, Jitae
    2023 25TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY, ICACT, 2023, : 341 - 344
  • [28] ISGDRP: a multi-modal learning method for drug response prediction
    Zhao, Haochen
    Zhang, Xiaoyu
    Zhao, Qichang
    Duan, Guihua
    15TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, ACM-BCB 2024, 2024,
  • [29] Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction
    Bae, Inhwan
    Park, Jin-Hwi
    Jeon, Hae-Gon
    COMPUTER VISION, ECCV 2022, PT XXII, 2022, 13682 : 270 - 289
  • [30] Dynamical User Intention Prediction via Multi-modal Learning
    Liu, Xuanwu
    Li, Zhao
    Mao, Yuanhui
    Lai, Lixiang
    Gao, Ben
    Deng, Yao
    Yu, Guoxian
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS (DASFAA 2020), PT I, 2020, 12112 : 519 - 535