5 citations · 9 across the 4 of their papers we have counts for
12 papers
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…
Can Author Collaboration Reveal Impact? The Case of h-index
Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon +1
Scientific impact has been the center of extended debate regarding its accuracy and reliability. From hiring committees in academic institutions to governmental agencies that distr…
Ego-based Entropy Measures for Structural Representations on Graphs
George Dasoulas, Giannis Nikolentzos, Kevin Scaman +2
Machine learning on graph-structured data has attracted high research interest due to the emergence of Graph Neural Networks (GNNs). Most of the proposed GNNs are based on the node…
Transfer Graph Neural Networks for Pandemic Forecasting
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
The recent outbreak of COVID-19 has affected millions of individuals around the world and has posed a significant challenge to global healthcare. From the early days of the pandemi…
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
Neural networks for structured data like graphs have been studied extensively in recent years. To date, the bulk of research activity has focused mainly on static graphs. However,…
Ego-based Entropy Measures for Structural Representations
George Dasoulas, Giannis Nikolentzos, Kevin Scaman +2
In complex networks, nodes that share similar structural characteristics often exhibit similar roles (e.g type of users in a social network or the hierarchical position of employee…