most citedGPS++: Reviving the Art of Message Passing for Molecular Property Prediction

2 citations · 2 across the 2 of their papers we have counts for

collaborators

1 paper

cs.LG2023★ 2 cited

GPS++: Reviving the Art of Message Passing for Molecular Property Prediction

Dominic Masters, Josef Dean, Kerstin Klaser +9

We present GPS++, a hybrid Message Passing Neural Network / Graph Transformer model for molecular property prediction. Our model integrates a well-tuned local message passing compo…