Griffin: Towards a Graph-Centric Relational Database Foundation Model

By Yan-Bo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qi-Bin Yang, David Wipf, Muhan Zhang. 2025

Subfields: Representation & Self-Supervised Learning, Graph Learning

Citations in the corpus

• A Fair Benchmarking of Deep Relational Database Learning Models (2026, unknown): “More recently, graph-based [19] and transformer-based [4] foundation models for relational databases have been proposed to generalize across different database schemas.”
• TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion (2026, unknown): “…space: where ENC and PROJ e denote the MLP-based encoder and projection module, respectively, with ˆ z j ∈ R r and z In our implementation, we pretrained ENC based on Griffin (Wang et al., 2025) and keep it fixed throughout all experiments, while PROJ e is jointly optimized during training.”