3 citations · 3 across the 1 of their papers we have counts for
2 papers
physics.chem-ph2023
On the Interplay of Subset Selection and Informed Graph Neural Networks
Niklas Breustedt, Paolo Climaco, Jochen Garcke +5
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…
cs.LG2022★ 3 cited
Towards Training GNNs using Explanation Directed Message Passing
Valentina Giunchiglia, Chirag Varun Shukla, Guadalupe Gonzalez +1
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…