no code implementations • EMNLP (Louhi) 2020 • Konstantinos Skianis, Yann Briand, Florent Desgrippes
Medical terminologies resources and standards play vital roles in clinical data exchanges, enabling significantly the services’ interoperability within healthcare national information networks.
1 code implementation • 5 Dec 2022 • Jhony H. Giraldo, Konstantinos Skianis, Thierry Bouwmans, Fragkiskos D. Malliaros
Graph Neural Networks (GNNs) have succeeded in various computer science applications, yet deep GNNs underperform their shallow counterparts despite deep learning's success in other domains.
no code implementations • 26 Sep 2022 • Konstantinos Katserelis, Konstantinos Skianis
Food is essential to human survival.
no code implementations • LREC 2020 • Stamatis Outsios, Christos Karatsalos, Konstantinos Skianis, Michalis Vazirgiannis
Since word embeddings have been the most popular input for many NLP tasks, evaluating their quality is of critical importance.
1 code implementation • 3 Apr 2019 • Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis
In several domains, data objects can be decomposed into sets of simpler objects.
Ranked #1 on Document Classification on Twitter
no code implementations • 8 Oct 2018 • Stamatis Outsios, Konstantinos Skianis, Polykarpos Meladianos, Christos Xypolopoulos, Michalis Vazirgiannis
Word embeddings are undoubtedly very useful components in many NLP tasks.
1 code implementation • WS 2018 • Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis
In text classification, the problem of overfitting arises due to the high dimensionality, making regularization essential.
1 code implementation • 6 Jun 2018 • Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis
The problem of accurately measuring the similarity between graphs is at the core of many applications in a variety of disciplines.
1 code implementation • WS 2018 • Konstantinos Skianis, Fragkiskos Malliaros, Michalis Vazirgiannis
Contrary to the traditional Bag-of-Words approach, we consider the Graph-of-Words(GoW) model in which each document is represented by a graph that encodes relationships between the different terms.
no code implementations • ICLR 2018 • Giannis Nikolentzos, Polykarpos Meladianos, Antoine J-P Tixier, Konstantinos Skianis, Michalis Vazirgiannis
Graph kernels have been successfully applied to many graph classification problems.
1 code implementation • 29 Oct 2017 • Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
Graph kernels have been successfully applied to many graph classification problems.