Author

Georgios Paliouras

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Open access Aug 2026

Interpretable Forecasting of Kidney Cancer Progression via Generative AI and Symbolic Reasoning

Predicting cancer stage progression from omics data, and deriving molecular insight into the mechanisms driving it, remains a major challenge, owing in part to the lack of adequate longitudinal data and the interpretability limitations of current forecasting models. Large cancer datasets such as TCGA capture patient pr...

Guillermo Prol-Castelo, Elina Syrri, Nikolaos Manginas et al. · bioRxiv · 0 citations

Jul 2026

Enhancing Small Language Models Reasoning through Knowledge Graph Grounding

This work investigates a neuro-symbolic agentic framework to enhance the reasoning capabilities of SLMs, specifically Gemma 3 (1B, 4B) and Llama 3.2 (3B), using the CLUTRR kinship benchmark.

Dimitrios Kelesis, K. Bougiatiotis, Georgios Paliouras · arXiv.org · 0 citations

Preprint Jul 2026

Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools

A modular Context-Augmented Prompting framework that enables agentic tool use at inference time: a trained GNN expert model provides a predictive hint with confidence, and a GNN extracts an instance-specific explanatory subgraph via a necessity-based edge-drop intervention.

K. Bougiatiotis, Dimitrios Kelesis, Georgios Paliouras · 1 citation