The Road to Explainable Graph Neural Networks

被引:0
|
作者
Ranu, Sayan [1 ,2 ]
机构
[1] IIT Delhi, Dept Comp Sci & Engn, Delhi, India
[2] IIT Delhi, Yardi Sch AI Joint Appointment, Delhi, India
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
引用
收藏
页数:39
相关论文
共 50 条
  • [1] Explainable graph neural networks for organic cages
    Yuan, Qi
    Szczypinski, Filip T.
    Jelfs, Kim E.
    DIGITAL DISCOVERY, 2022, 1 (02): : 127 - 138
  • [2] Knowledge Enhanced Graph Neural Networks for Explainable Recommendation
    Lyu, Ziyu
    Wu, Yue
    Lai, Junjie
    Yang, Min
    Li, Chengming
    Zhou, Wei
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 35 (05) : 4954 - 4968
  • [3] Explainable Spatio-Temporal Graph Neural Networks
    Tang, Jiabin
    Xia, Lianghao
    Huang, Chao
    PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, 2023, : 2432 - 2441
  • [4] Explainable Graph Neural Networks for Atherosclerotic Cardiovascular Disease
    Lundstrom, Jens
    Hashemi, Atiye Sadat
    Tiwari, Prayag
    CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023, 2023, 302 : 603 - 604
  • [5] EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks
    Mokhtari, Masoud
    Tsang, Teresa
    Abolmaesumi, Purang
    Liao, Renjie
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT IV, 2022, 13434 : 360 - 369
  • [6] Drug discovery and mechanism prediction with explainable graph neural networks
    Wang, Conghao
    Kumar, Gaurav Asok
    Rajapakse, Jagath C.
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [7] Random Mask Perturbation Based Explainable Method of Graph Neural Networks
    Yang, Xinyue
    Huang, Hai
    Zuo, Xingquan
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT III, PAKDD 2024, 2024, 14647 : 17 - 29
  • [8] Inpainting-Driven Graph Learning via Explainable Neural Networks
    Batreddy, Subbareddy
    Mishra, Pushkal
    Kakarla, Yaswanth
    Siripuram, Aditya
    IEEE SIGNAL PROCESSING LETTERS, 2025, 32 : 111 - 115
  • [9] Graph-based neural networks for explainable image privacy inference
    Yang, Guang
    Cao, Juan
    Chen, Zhineng
    Guo, Junbo
    Li, Jintao
    PATTERN RECOGNITION, 2020, 105
  • [10] Quantitative evaluation of explainable graph neural networks for molecular property prediction
    Rao, Jiahua
    Zheng, Shuangjia
    Lu, Yutong
    Yang, Yuedong
    PATTERNS, 2022, 3 (12):