ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction

1 code implementation • 7 Oct 2022 • Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel

In this work, we propose the novel Prototypical Graph Regression Self-explainable Trees (ProGReST) model, which combines prototype learning, soft decision trees, and Graph Neural Networks.

Graph Regression Molecular Property Prediction +2