2 code implementations • 3 Mar 2024 • Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis
Graph generation has emerged as a crucial task in machine learning, with significant challenges in generating graphs that accurately reflect specific properties.
1 code implementation • 25 Jul 2023 • Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis
These results highlight the transformative impact of multimodal models, specifically the fusion of GNNs and LLMs, empowering researchers with powerful tools for more accurate function prediction of existing as well as first-to-see proteins.
2 code implementations • 3 Apr 2023 • Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou
In addition, we examine its performance on two NLG tasks from GreekSUM, a newly introduced summarization dataset for the Greek language.
no code implementations • 11 Oct 2022 • Hadi Abdine, Moussa Kamal Eddine, Michalis Vazirgiannis, Davide Buscaldi
In this paper, we propose a novel unsupervised method based on hierarchical clustering and invariant information clustering (IIC).
no code implementations • PoliticalNLP (LREC) 2022 • Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis
We perform community detection on a retweet graph of users and propose an in-depth analysis of the stance of each community.
no code implementations • 1 Dec 2021 • Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, established in 2013 and since then producing research results in the area of large scale data analysis via methods of machine and deep learning.
1 code implementation • EMNLP (NLLP) 2021 • Stella Douka, Hadi Abdine, Michalis Vazirgiannis, Rajaa El Hamdani, David Restrepo Amariles
Language models have proven to be very useful when adapted to specific domains.
1 code implementation • 5 May 2021 • Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis
Adding that pretrained word vectors on huge text corpus achieved high performance in many different NLP tasks.