From the 2 of 4 linked papers with an AI index.
4 papers
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…
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…
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…