3 papers
cs.LG2026
Graph Learning via Logic-Based Weisfeiler-Leman Variants and Tabularization
Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto +3
We present a novel approach for graph classification based on tabularizing graph data via new variants of the Weisfeiler-Leman algorithm and then applying methods for tabular data.…
cs.LG2024
Interpretable classifiers for tabular data via discretization and feature selection
Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto +2
We introduce a method for computing immediately human interpretable yet accurate classifiers from tabular data. The classifiers obtained are short Boolean formulas, computed via fi…
cs.LG2024
Globally Interpretable Classifiers via Boolean Formulas with Dynamic Propositions
Reijo Jaakkola, Tomi Janhunen, Antti Kuusisto +2
Interpretability and explainability are among the most important challenges of modern artificial intelligence, being mentioned even in various legislative sources. In this article,…