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Privacy and interpretability are two important ingredients for achieving trustworthy machine learning.
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MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction
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ZORRO: Valid, Sparse, and Stable Explanations in Graph Neural Networks
Thorben Funke, Megha Khosla, Mandeep Rathee, and Avishek Anand. 2022 · 2022
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Attacking graph-based classification via manipulating the graph structure. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security . 2023–2040
Binghui Wang and Neil Zhenqiang Gong. 2019 · 2040
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