4 papers
Enhancing Small Language Models Reasoning through Knowledge Graph Grounding
Dimitrios Kelesis, Konstantinos Bougiatiotis, Georgios Paliouras
Although large language models (LLMs) have set benchmarks for zero-shot reasoning, their deployment remains cost-prohibitive and environmentally taxing. Small Language Models (SLMs…
Improving Molecular Property Prediction in Small Language Models Using Graph-based Tools
Konstantinos Bougiatiotis, Dimitrios Kelesis, Georgios Paliouras
Small language models (SLMs) have shown promise for zero-shot molecular property prediction from SMILES strings, yet they often suffer from structural blindness because sequence re…
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…
From Primes to Paths: Enabling Fast Multi-Relational Graph Analysis
Konstantinos Bougiatiotis, Georgios Paliouras
Multi-relational networks capture intricate relationships in data and have diverse applications across fields such as biomedical, financial, and social sciences. As networks derive…