Author

K. Bougiatiotis

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Open access Oct 2026

A benchmark study comparing deep learning and path analysis approaches for multi-class link prediction on a disease-specific literature knowledge graph.

Identifying and understanding multi-type drug-drug interactions and their associated toxicities is crucial for preventing adverse outcomes, especially in vulnerable populations, such as cancer patients, who may already have compromised health statuses. This paper provides a benchmark study that compares various commonl...

Marios Vottas, Konstantinos Bougiatiotis, Fotis Aisopos et al. · Artificial Intelligence in M... · 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