Author

Charilaos I. Kanatsoulis

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#artificial intelligence Preprint Oct 2026

RT-J: Large-Scale Pretraining of Relational Transformers for Context-Efficient Predictions

Foundation models for tables and relational databases are increasingly used for predictive tasks across various scientific and industrial domains. However, adapting existing models to unseen datasets requires tens of thousands of examples. Here we introduce RT-J, an 85M-parameter relational foundation model (RFM) that...

Rishabh Ranjan, Vignesh Kothapalli, Harsh Agarwal et al. · 0 citations

#machine learning Jul 2026

Graph Convolutional Attention: A Spectral Perspective on Graph Denoising and Diffusion

Spectral Attention is introduced, which directly utilizes the input graph spectrum and provably outperforms linear attention by a margin governed by the spectral diversity of the distribution, and Graph Convolutional Attention is derived, a practical and permutation-equivariant realization of this idea that implements...

Shervin Khalafi, Igor Krawczuk, Sergio Rozada et al. · arXiv.org · 0 citations