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.
Advances in Neural Information Processing Systems (
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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.