Author

Long D. Nguyen

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#machine learning Preprint Oct 2026

Valid for Free: Homophily-Gated Conformal Prediction for Training-Free Node Classification with Tabular Foundation Models

This work gives the first reliability study of the TabICL setting, with TabICL as the TFM and half of each graph as labeled context, and introduces HG-DAPS, a training-free diffusion score whose homophily gate reads only the in-context labels, so the guarantee still holds.

Long D. Nguyen, Hiển Minh Phùng, Viet Trong Nguyen et al. · 0 citations

Preprint Aug 2026

Geometry-Informed Parameter-Efficient Fine-Tuning of Pre-trained Molecular GNNs for Blood-Brain Barrier Permeability Prediction

BBBP-GeoPEFT is proposed, a geometry-informed PEFT framework for pre-trained molecular GNNs that preserves pre-trained knowledge while incorporating permeability-relevant geometric information with a small trainable-parameter budget.

Marco Vieto Vega, Long D. Nguyen, Binh P. Nguyen · 0 citations