Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts

1 code implementation • 25 Nov 2023 • Jonas Jürß, Lucie Charlotte Magister, Pietro Barbiero, Pietro Liò, Nikola Simidjievski

A line of interpretable methods approach this by discovering a small set of relevant concepts as subgraphs in the last GNN layer that together explain the prediction.

Drug Discovery Travel Time Estimation

Recursive Algorithmic Reasoning

1 code implementation • 1 Jul 2023 • Jonas Jürß, Dulhan Jayalath, Petar Veličković

Learning models that execute algorithms can enable us to address a key problem in deep learning: generalizing to out-of-distribution data.