RelBench v2: A Large-Scale Benchmark and Repository for Relational Data

ArXi:2602.12606v2 Announce Type: replace Relational deep learning (RDL) has emerged as a powerful paradigm for learning directly on relational databases by modeling entities and their relationships across multiple interconnected tables. As this paradigm evolves toward larger models and relational foundation models, scalable and realistic benchmarks are essential for enabling systematic evaluation and progress. In this paper, we