摘要 : Graph Neural Networks (GNNs) have demonstrated their efficacy in representing graph-structured data, but their lack of explainability hinders their applicability to critical tasks. Existing GNNs explainers fail to consider the pre... 展开
作者 | Youmin Zhang William K. Cheung Qun Liu Guoyin Wang Lili Yang Li Liu |
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作者单位 | |
期刊名称 | 《Information Processing & Management》 |
页码/总页数 | 103571.1-103571.26 / 26 |
语种/中图分类号 | 英语 / TP3 |
关键词 | Explainable machine learning Graph neural network Prediction ranking Structural dependency |
DOI | 10.1016/j.ipm.2023.103571 |
馆藏号 | G-047 |