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pro vyhledávání: '"Shukla, Chirag Varun"'
Autor:
Breustedt, Niklas, Climaco, Paolo, Garcke, Jochen, Hamaekers, Jan, Kutyniok, Gitta, Lorenz, Dirk A., Oerder, Rick, Shukla, Chirag Varun
Machine learning techniques paired with the availability of massive datasets dramatically enhance our ability to explore the chemical compound space by providing fast and accurate predictions of molecular properties. However, learning on large datase
Externí odkaz:
http://arxiv.org/abs/2306.10066
With the increasing use of Graph Neural Networks (GNNs) in critical real-world applications, several post hoc explanation methods have been proposed to understand their predictions. However, there has been no work in generating explanations on the fl
Externí odkaz:
http://arxiv.org/abs/2211.16731