PathBoost extends path-based gradient boosting with logistic loss, prefix-based multi-attribute handling, and automatic anchor selection, achieving better or comparable results to GNNs and graph kernels on benchmark datasets, especially larger graphs.
Proceedings of the 34th International Conference on Machine Learning (
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path_boost packages PathBoost, an interpretable path-based gradient booster for graphs that is competitive with GINE and WL+SVR on six molecular regression datasets while exposing which labeled paths drive predictions.
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Path-Based Gradient Boosting for Graph-Level Prediction
PathBoost extends path-based gradient boosting with logistic loss, prefix-based multi-attribute handling, and automatic anchor selection, achieving better or comparable results to GNNs and graph kernels on benchmark datasets, especially larger graphs.
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path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
path_boost packages PathBoost, an interpretable path-based gradient booster for graphs that is competitive with GINE and WL+SVR on six molecular regression datasets while exposing which labeled paths drive predictions.