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Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers?
Our results show that these high-capacity classifiers are surprisingly and counter-intuitively more robust to avoiding KFK joins compared to linear classifiers, refuting an intuition from the prior work's analysis.
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