Giannis Nikolentzos

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 69

Top Topics

Graph Representations

Top Venues

Publications

Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR (2024)
Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis
Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR (2024)
Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models. CoRR (2024)
Giannis Nikolentzos, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis
Graph Neural Machine: A New Model for Learning with Tabular Data. CoRR (2024)
Giannis Nikolentzos, Michalis Vazirgiannis, Christos Xypolopoulos, Markus Lingman, Erik G. Brandt
Synthetic electronic health records generated with variational graph autoencoders. npj Digit. Medicine 6 (2023)
Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series. CoRR (2023)
Giannis Nikolentzos, Michalis Vazirgiannis
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. AISTATS (2023)
Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis
Supervised Attention Using Homophily in Graph Neural Networks. CoRR (2023)
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. AISTATS (2023)
Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis
Neural Ordinary Differential Equations for Modeling Epidemic Spreading. Trans. Mach. Learn. Res. 2023 (2023)
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
What Do GNNs Actually Learn? Towards Understanding their Representations. CoRR (2023)
Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML (2023)
Giannis Nikolentzos, Michalis Vazirgiannis
Geometric Random Walk Graph Neural Networks via Implicit Layers. AISTATS (2023)
Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR (2023)
Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. COMPLEX NETWORKS (1) (2023)
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
Permute Me Softly: Learning Soft Permutations for Graph Representations. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis
Time Series Forecasting Models Copy the Past: How to Mitigate. CoRR (2022)
Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
Image Keypoint Matching using Graph Neural Networks. CoRR (2022)
Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis
Time Series Forecasting Models Copy the Past: How to Mitigate. ICANN (1) (2022)
Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis
Mass Enhanced Node Embeddings for Drug Repurposing. SETN (2022)
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. CoRR (2022)
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP (2021)
Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis
Can Author Collaboration Reveal Impact? The Case of h-index. CoRR (2021)
Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
Graph Kernels: A Survey. J. Artif. Intell. Res. 72 (2021)
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
Ego-based Entropy Measures for Structural Representations on Graphs. CoRR (2021)
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR (2021)
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
Transfer Graph Neural Networks for Pandemic Forecasting. AAAI (2021)
Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) (2021)
Giannis Nikolentzos, Michalis Vazirgiannis
Learning Structural Node Representations Using Graph Kernels. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
NLP Research and Resources at DaSciM, Ecole Polytechnique. CoRR (2021)
Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS (2021)
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
k-hop graph neural networks. Neural Networks 130 (2020)
George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
Ego-based Entropy Measures for Structural Representations. CoRR (2020)
Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. CoRR (2020)
Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis
Message Passing Attention Networks for Document Understanding. AAAI (2020)
George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR (2020)
Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis
Rep the Set: Neural Networks for Learning Set Representations. AISTATS (2020)
Giannis Nikolentzos, Michalis Vazirgiannis
Random Walk Graph Neural Networks. NeurIPS (2020)
Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
Image Classification Using Graph-Based Representations and Graph Neural Networks. COMPLEX NETWORKS (2) (2020)
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis
GraKeL: A Graph Kernel Library in Python. J. Mach. Learn. Res. 21 (2020)
Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. ICANN (1) (2020)
Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis
Graph Auto-Encoders for Learning Edge Representations. COMPLEX NETWORKS (2) (2020)
Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis
Machine Learning on Graphs with Kernels. CIKM (2019)
Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis
Message Passing Attention Networks for Document Understanding. CoRR (2019)
Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
Matching Node Embeddings Using Valid Assignment Kernels. COMPLEX NETWORKS (1) (2019)
Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
Graph Classification with 2D Convolutional Neural Networks. ICANN (Workshop) (2019)
Giannis Nikolentzos, Michalis Vazirgiannis
Revisiting the Graph Isomorphism Problem with Semidefinite Programming. CoRR (2019)
Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
Graph Kernels: A Survey. CoRR (2019)
Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis
Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics 13 (2) (2019)
Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
k-hop Graph Neural Networks. CoRR (2019)
Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis
Rep the Set: Neural Networks for Learning Set Representations. CoRR (2019)
Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
Kernel Graph Convolutional Neural Networks. ICANN (1) (2018)
Niklas Steenfatt, Giannis Nikolentzos, Michalis Vazirgiannis, Qiang Zhao
Learning Structural Node Representations on Directed Graphs. COMPLEX NETWORKS (2) (2018)
Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis
A Degeneracy Framework for Graph Similarity. IJCAI (2018)
Polykarpos Meladianos, Christos Xypolopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
An Optimization Approach for Sub-event Detection and Summarization in Twitter. ECIR (2018)
Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis
GraKeL: A Graph Kernel Library in Python. CoRR (2018)
Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos
GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. CIKM (2018)
Giannis Nikolentzos, Michalis Vazirgiannis
Enhancing Graph Kernels via Successive Embeddings. CIKM (2018)
Giannis Nikolentzos, Michalis Vazirgiannis
Message Passing Graph Kernels. CoRR (2018)
Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis
K-Clique-Graphs for Dense Subgraph Discovery. ECML/PKDD (1) (2017)
Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
Classifying Graphs as Images with Convolutional Neural Networks. CoRR (2017)
Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
Kernel Graph Convolutional Neural Networks. CoRR (2017)
Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis
Shortest-Path Graph Kernels for Document Similarity. EMNLP (2017)
Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis
Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization. EACL (2) (2017)
Polykarpos Meladianos, Antoine J.-P. Tixier, Giannis Nikolentzos, Michalis Vazirgiannis
Real-Time Keyword Extraction from Conversations. EACL (2) (2017)
Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
Matching Node Embeddings for Graph Similarity. AAAI (2017)
Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis
K-clique-graphs for Dense Subgraph Discovery. CoRR (2016)
Polykarpos Meladianos, Giannis Nikolentzos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis
Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream. ICWSM (2015)
Giannis Nikolentzos, Polykarpos Meladianos, Nektarios Liakis, Michalis Vazirgiannis
AUEB at TREC 2015: Clinical Decision Support Track. TREC (2015)