Nikolentzos, Giannis

18 publications

TMLR 2025 KAGNNs: Kolmogorov-Arnold Networks Meet Graph Learning Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis

AISTATS 2025 Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis

LoG 2025 What Do GNNs Actually Learn? Towards Understanding Their Representations Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

AISTATS 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers Giannis Nikolentzos, Michalis Vazirgiannis

AISTATS 2023 Graph Alignment Kernels Using Weisfeiler and Leman Hierarchies Giannis Nikolentzos, Michalis Vazirgiannis

TMLR 2023 Neural Ordinary Differential Equations for Modeling Epidemic Spreading Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis

ICML 2023 Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis

AISTATS 2023 Weisfeiler and Leman Go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

NeurIPSW 2022 Structure-Aware Antibiotic Resistance Classification Using Graph Neural Networks Aymen Qabel, Sofiane Ennadir, Giannis Nikolentzos, Johannes F. Lutzeyer, Michail Chatzianastasis, Henrik Boström, Michalis Vazirgiannis

JAIR 2021 Graph Kernels: A Survey Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis

AAAI 2021 Transfer Graph Neural Networks for Pandemic Forecasting George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

MLOSS 2020 GraKeL: A Graph Kernel Library in Python Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis

AAAI 2020 Message Passing Attention Networks for Document Understanding Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis

NeurIPS 2020 Random Walk Graph Neural Networks Giannis Nikolentzos, Michalis Vazirgiannis

AISTATS 2020 Rep the Set: Neural Networks for Learning Set Representations Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis

IJCAI 2018 A Degeneracy Framework for Graph Similarity Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis

ECML-PKDD 2017 K-Clique-Graphs for Dense Subgraph Discovery Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis

AAAI 2017 Matching Node Embeddings for Graph Similarity Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis