Johan Pensar

path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting

The package implements PathBoost, a gradient boosting algorithm that automatically discovers predictive labeled paths within graphs during the learning process, which produces an additive prediction model over path-based features that explicitly reveals which substructures drive predictions.