38 citations · 160 across the 16 of their papers we have counts for
16 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…
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…
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
Financial misstatement detection: a realistic evaluation
Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis +3
In this work, we examine the evaluation process for the task of detecting financial reports with a high risk of containing a misstatement. This task is often referred to, in the li…
Analysing Biomedical Knowledge Graphs using Prime Adjacency Matrices
Konstantinos Bougiatiotis, Georgios Paliouras
Most phenomena related to biomedical tasks are inherently complex, and in many cases, are expressed as signals on biomedical Knowledge Graphs (KGs). In this work, we introduce the…
Efficient multi-relational network representation using primes
Konstantinos Bougiatiotis, Georgios Paliouras
In this work, we propose a novel representation of complex multi-relational networks, which is compact and allows very efficient network analysis. Multi-relational networks capture…
Knowledge4COVID-19: A Semantic-based Approach for Constructing a COVID-19 related Knowledge Graph from Various Sources and Analysing Treatments' Toxicities
Ahmad Sakor, Samaneh Jozashoori, Emetis Niazmand +9
In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the power of integrating disparate sources of knowledge to discover adverse drug effects caused by d…
DICoE@FinSim-3: Financial Hypernym Detection using Augmented Terms and Distance-based Features
Lefteris Loukas, Konstantinos Bougiatiotis, Manos Fergadiotis +2
We present the submission of team DICoE for FinSim-3, the 3rd Shared Task on Learning Semantic Similarities for the Financial Domain. The task provides a set of terms in the financ…
Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Georgios Katsimpras, Eirini Vandorou +4
Advancing the state-of-the-art in large-scale biomedical semantic indexing and question answering is the main focus of the BioASQ challenge. BioASQ organizes respective tasks where…
Overview of BioASQ 2020: The eighth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Anastasios Nentidis, Anastasia Krithara, Konstantinos Bougiatiotis +4
In this paper, we present an overview of the eighth edition of the BioASQ challenge, which ran as a lab in the Conference and Labs of the Evaluation Forum (CLEF) 2020. BioASQ is a…
Results of the seventh edition of the BioASQ Challenge
Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara +1
The results of the seventh edition of the BioASQ challenge are presented in this paper. The aim of the BioASQ challenge is the promotion of systems and methodologies through the or…
Guiding Graph Embeddings using Path-Ranking Methods for Error Detection innoisy Knowledge Graphs
K. Bougiatiotis, R. Fasoulis, F. Aisopos +2
Nowadays Knowledge Graphs constitute a mainstream approach for the representation of relational information on big heterogeneous data, however, they may contain a big amount of imp…
iASiS Open Data Graph: Automated Semantic Integration of Disease-Specific Knowledge
Anastasios Nentidis, Konstantinos Bougiatiotis, Anastasia Krithara +1
In biomedical research, unified access to up-to-date domain-specific knowledge is crucial, as such knowledge is continuously accumulated in scientific literature and structured res…
Enhanced Movie Content Similarity Based on Textual, Auditory and Visual Information
Konstantinos Bougiatiotis, Theodore Giannakopoulos
In this paper we examine the ability of low-level multimodal features to extract movie similarity, in the context of a content-based movie recommendation approach. In particular, w…
Multimodal Content Representation and Similarity Ranking of Movies
Konstantinos Bougiatiotis, Theodore Giannakopoulos
In this paper we examine the existence of correlation between movie similarity and low level features from respective movie content. In particular, we demonstrate the extraction of…