Author

Yuta Shikuri

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#machine learning Preprint Oct 2026

Interpretable Graph Partitioning for Spatial Prediction

This study forms a graph partitioning problem to construct a global surrogate model that approximates black-box predictions with simpler representations, and selects connected subgraphs to minimize within-cluster residuals in vertex-level predictions.

Yuta Shikuri · 0 citations