663 citations · 1.7k across the 24 of their papers we have counts for
Showing 2020Show all
2 papers · 1 filter
cs.LG2020★ 31 cited
Scientific intuition inspired by machine learning generated hypotheses
Pascal Friederich, Mario Krenn, Isaac Tamblyn +1
Machine learning with application to questions in the physical sciences has become a widely used tool, successfully applied to classification, regression and optimization tasks in…
cs.LG2020
Neural Message Passing on High Order Paths
Daniel Flam-Shepherd, Tony Wu, Pascal Friederich +1
Graph neural network have achieved impressive results in predicting molecular properties, but they do not directly account for local and hidden structures in the graph such as func…