Author

Andrea Cavallaro

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#machine learning Preprint Oct 2026

Logic-Guided Graph Denoising Diffusion Models

Graph diffusion models are competitive approaches for generating complex graph-structured data. However, when such distributions have strict structural constraints, diffusion models may fail to capture them exactly, resulting in the generation of invalid graphs. In this paper, we propose a method for grounding graph di...

Samuel Cognolato, Luciano Serafini, Alessandro Sperduti et al. · 0 citations

Jul 2026

Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT

A controlled experiment on the final window of pretraining, the last data trained on before instruction tuning, finds that what a model is pretrained on last shapes how it reacts to alignment, and what it was trained on last should be reported with it.

Lujing Cen, Yung-Chen Tang, Andrea Cavallaro · arXiv.org · 0 citations