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Relational Task Generation Language: A Declarative Specification Framework for Relational Deep Learning
Relational Deep Learning (RDL) has become a powerful paradigm for learning from multi-tabular data. However, manually defining RDL prediction tasks is a laborious process that frequently results in data leakage. To address this issue, we introduce Relational Task Generation Language (RTGL) - an open-source declarative language that streamlines RDL task formulation by abstracting away low-level SQL details. We showcase RTGL by reconstructing existing RDL benchmark tasks and uncovering their inconsistencies stemming from manually crafted SQL definitions of RDL prediction targets, thereby undersc
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-01T14:27:06.000Z
First collected: 2026-09-21T06:01:56.170Z. This is not the publication date.