22 citations · 91 across the 23 of their papers we have counts for
42 papers
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas +2
Graph autoencoders (GAE) and variational graph autoencoders (VGAE) emerged as powerful methods for link prediction (LP). Their performances are less impressive on community detecti…
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank
Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis +1
Graph Neural Networks (GNNs) have achieved great successes in many learning tasks performed on graph structures. Nonetheless, to propagate information GNNs rely on a message passin…
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine +1
The topic of summarization evaluation has recently attracted a surge of attention due to the rapid development of abstractive summarization systems. However, the formulation of the…
DATScore: Evaluating Translation with Data Augmented Translations
Moussa Kamal Eddine, Guokan Shang, Michalis Vazirgiannis
The rapid development of large pretrained language models has revolutionized not only the field of Natural Language Generation (NLG) but also its evaluation. Inspired by the recent…
Image Keypoint Matching using Graph Neural Networks
Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis +1
Image matching is a key component of many tasks in computer vision and its main objective is to find correspondences between features extracted from different natural images. When…
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
Hadi Abdine, Yanzhu Guo, Virgile Rennard +1
With the significant increase in users on social media platforms, a new means of political campaigning has appeared. Twitter and Facebook are now notable campaigning tools during e…