works on
small language models 2graph-based reasoning 1graph neural networks 1knowledge graph grounding 1molecular property prediction 1multi-hop reasoning 1neuro-symbolic reasoning 1prompt engineering 1relational graph convolutional networks 1SMILES 1

From the 2 of 3 linked papers with an AI index.

collaborators

3 papers

cs.AI2026

Enhancing Small Language Models Reasoning through Knowledge Graph Grounding

Dimitrios Kelesis, Konstantinos Bougiatiotis, Georgios Paliouras

The paper proposes a neuro‑symbolic framework that equips small language models with knowledge‑graph grounding via fact extraction and RGCN‑based hints to improve multi‑hop reasoni…

cs.AI2026

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

Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios Paliouras

The paper proposes a Context‑Augmented Prompting framework that lets small language models query a graph neural network expert for structural hints and explanatory subgraphs, impro…

cs.LG2026

Focused PU learning from imbalanced data

Elias Zavitsanos, Georgios Paliouras

We propose a new method of learning from positive and unlabeled (PU) examples in highly imbalanced datasets. Many real-world problems, such as disease gene identification, targeted…