Database Views as Explanations for Relational Deep Learning
Summary: Explains relational deep models via database-view definitions that serve as global abductive explanations, grounded in determinacy and tunable for conciseness/granularity (columns, FKs, tuple groups). Instantiates this for hetero-GNNs using learnable masks, outperforming heuristic/model-agnostic baselines on RelBench. (summarized by gpt-5.4-mini on May 27 2026)
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