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cs.LG2020
FsNet: Feature Selection Network on High-dimensional Biological Data
Dinesh Singh, Héctor Climente-González, Mathis Petrovich +2
Biological data including gene expression data are generally high-dimensional and require efficient, generalizable, and scalable machine-learning methods to discover their complex…
cs.LG2020
GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks
Qiang Huang, Makoto Yamada, Yuan Tian +3
Graph structured data has wide applicability in various domains such as physics, chemistry, biology, computer vision, and social networks, to name a few. Recently, graph neural net…