Giannis Nikolentzos

83 papers A* 7A 10Misc 1Journal 45Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Archetypal Graph Generative Models: Explainable and Identifiable Communities via Anchor-Dominant Convex Hulls. CoRR Nikolaos Nakis, Chrysoula Kosma, Panagiotis Promponas, Michail Chatzianastasis, Giannis Nikolentzos
2026	J	`jnl`	GreekMMLU: A Native-Sourced Multitask Benchmark for Evaluating Language Models in Greek. CoRR Yang Zhang, Mersin Konomi, Christos Xypolopoulos, Konstantinos Divriotis, Konstantinos Skianis, Giannis Nikolentzos, Giorgos Stamou, Guokan Shang, Michalis Vazirgiannis
2026	J	`jnl`	On the theoretical expressive power of graph transformers for solving graph problems. Neural Networks Giannis Nikolentzos, Dimitrios Kelesis, Michalis Vazirgiannis
2025	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. Trans. Mach. Learn. Res. Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2025	J	`jnl`	On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets. CoRR Giannis Nikolentzos, Konstantinos Skianis
2025	A	`conf`	Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings. AISTATS Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis
2024	J	`jnl`	Generating graph perturbations to enhance the generalization of GNNs. AI Open Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
2024	J	`jnl`	Graph Linearization Methods for Reasoning on Graphs with Large Language Models. CoRR Christos Xypolopoulos, Guokan Shang, Xiao Fei, Giannis Nikolentzos, Hadi Abdine, Iakovos Evdaimon, Michail Chatzianastasis, Giorgos Stamou, Michalis Vazirgiannis
2024	J	`jnl`	Graph Neural Machine: A New Model for Learning with Tabular Data. CoRR Giannis Nikolentzos, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis
2024	J	`jnl`	Graph Reasoning with Large Language Models via Pseudo-code Prompting. CoRR Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis
2024	J	`jnl`	KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis
2024	J	`jnl`	Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis
2024	J	`jnl`	Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models. CoRR Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis
2024	J	`jnl`	Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings. CoRR Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis
2024	—	`conf`	What Do GNNs Actually Learn? Towards Understanding Their Representations. LoG Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
2023	A	`conf`	Geometric Random Walk Graph Neural Networks via Implicit Layers. AISTATS Giannis Nikolentzos, Michalis Vazirgiannis
2023	A	`conf`	Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. AISTATS Giannis Nikolentzos, Michalis Vazirgiannis
2023	J	`jnl`	Neural Ordinary Differential Equations for Modeling Epidemic Spreading. Trans. Mach. Learn. Res. Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis
2023	A*	`conf`	Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
2023	J	`jnl`	Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis
2023	J	`jnl`	Permute Me Softly: Learning Soft Permutations for Graph Representations. IEEE Trans. Pattern Anal. Mach. Intell. Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2023	—	`conf`	Supervised Attention Using Homophily in Graph Neural Networks. ICANN (4) Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis
2023	J	`jnl`	Supervised Attention Using Homophily in Graph Neural Networks. CoRR Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis
2023	J	`jnl`	Synthetic electronic health records generated with variational graph autoencoders. npj Digit. Medicine Giannis Nikolentzos, Michalis Vazirgiannis, Christos Xypolopoulos, Markus Lingman, Erik G. Brandt
2023	J	`jnl`	Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series. CoRR Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis
2023	—	`conf`	UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. COMPLEX NETWORKS (1) Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
2023	A	`conf`	Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. AISTATS Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
2023	J	`jnl`	What Do GNNs Actually Learn? Towards Understanding their Representations. CoRR Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
2022	J	`jnl`	Image Keypoint Matching using Graph Neural Networks. CoRR Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
2022	—	`conf`	Mass Enhanced Node Embeddings for Drug Repurposing. SETN Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis
2022	—	`conf`	Time Series Forecasting Models Copy the Past: How to Mitigate. ICANN (1) Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis
2022	J	`jnl`	Time Series Forecasting Models Copy the Past: How to Mitigate. CoRR Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis
2022	J	`jnl`	Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. CoRR Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis
2021	—	`conf`	An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis
2021	—	`ch.`	Can Author Collaboration Reveal Impact? The Case of h-index. Predicting the Dynamics of Research Impact Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis
2021	J	`jnl`	Can Author Collaboration Reveal Impact? The Case of h-index. CoRR Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis
2021	Misc	`conf`	Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021	J	`jnl`	Ego-based Entropy Measures for Structural Representations on Graphs. CoRR George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2021	J	`jnl`	Graph Kernels: A Survey. J. Artif. Intell. Res. Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
2021	—	`conf`	Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
2021	J	`jnl`	Learning Structural Node Representations Using Graph Kernels. IEEE Trans. Knowl. Data Eng. Giannis Nikolentzos, Michalis Vazirgiannis
2021	J	`jnl`	NLP Research and Resources at DaSciM, Ecole Polytechnique. CoRR Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis
2021	J	`jnl`	Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2021	A*	`conf`	Transfer Graph Neural Networks for Pandemic Forecasting. AAAI George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
2020	J	`jnl`	Ego-based Entropy Measures for Structural Representations. CoRR George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis
2020	—	`conf`	EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. ICANN (1) Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
2020	J	`jnl`	EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. CoRR Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
2020	J	`jnl`	GraKeL: A Graph Kernel Library in Python. J. Mach. Learn. Res. Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis
2020	—	`conf`	Graph Auto-Encoders for Learning Edge Representations. COMPLEX NETWORKS (2) Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis
2020	—	`conf`	Image Classification Using Graph-Based Representations and Graph Neural Networks. COMPLEX NETWORKS (2) Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis
2020	A*	`conf`	Message Passing Attention Networks for Document Understanding. AAAI Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis
2020	A*	`conf`	Random Walk Graph Neural Networks. NeurIPS Giannis Nikolentzos, Michalis Vazirgiannis
2020	A	`conf`	Rep the Set: Neural Networks for Learning Set Representations. AISTATS Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis
2020	J	`jnl`	United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
2020	J	`jnl`	k-hop graph neural networks. Neural Networks Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2019	—	`conf`	Graph Classification with 2D Convolutional Neural Networks. ICANN (Workshop) Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
2019	J	`jnl`	Graph Kernels: A Survey. CoRR Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
2019	A	`conf`	Machine Learning on Graphs with Kernels. CIKM Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis
2019	—	`conf`	Matching Node Embeddings Using Valid Assignment Kernels. COMPLEX NETWORKS (1) Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis
2019	J	`jnl`	Message Passing Attention Networks for Document Understanding. CoRR Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis
2019	J	`jnl`	Rep the Set: Neural Networks for Learning Set Representations. CoRR Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis
2019	J	`jnl`	Revisiting the Graph Isomorphism Problem with Semidefinite Programming. CoRR Giannis Nikolentzos, Michalis Vazirgiannis
2019	J	`jnl`	Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis
2019	J	`jnl`	k-hop Graph Neural Networks. CoRR Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis
2018	A*	`conf`	A Degeneracy Framework for Graph Similarity. IJCAI Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis
2018	A	`conf`	An Optimization Approach for Sub-event Detection and Summarization in Twitter. ECIR Polykarpos Meladianos, Christos Xypolopoulos, Giannis Nikolentzos, Michalis Vazirgiannis
2018	A	`conf`	Enhancing Graph Kernels via Successive Embeddings. CIKM Giannis Nikolentzos, Michalis Vazirgiannis
2018	J	`jnl`	GraKeL: A Graph Kernel Library in Python. CoRR Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis
2018	A	`conf`	GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. CIKM Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos
2018	—	`conf`	Kernel Graph Convolutional Neural Networks. ICANN (1) Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
2018	—	`conf`	Learning Structural Node Representations on Directed Graphs. COMPLEX NETWORKS (2) Niklas Steenfatt, Giannis Nikolentzos, Michalis Vazirgiannis, Qiang Zhao
2018	J	`jnl`	Message Passing Graph Kernels. CoRR Giannis Nikolentzos, Michalis Vazirgiannis
2017	J	`jnl`	Classifying Graphs as Images with Convolutional Neural Networks. CoRR Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
2017	—	`conf`	K-Clique-Graphs for Dense Subgraph Discovery. ECML/PKDD (1) Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis
2017	J	`jnl`	Kernel Graph Convolutional Neural Networks. CoRR Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis
2017	—	`—`	Machine learning on graphs: algorithms and applications Giannis Nikolentzos
2017	A*	`conf`	Matching Node Embeddings for Graph Similarity. AAAI Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis
2017	—	`conf`	Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization. EACL (2) Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis
2017	—	`conf`	Real-Time Keyword Extraction from Conversations. EACL (2) Polykarpos Meladianos, Antoine J.-P. Tixier, Giannis Nikolentzos, Michalis Vazirgiannis
2017	A*	`conf`	Shortest-Path Graph Kernels for Document Similarity. EMNLP Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis
2016	J	`jnl`	K-clique-graphs for Dense Subgraph Discovery. CoRR Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis
2015	—	`conf`	AUEB at TREC 2015: Clinical Decision Support Track. TREC Giannis Nikolentzos, Polykarpos Meladianos, Nektarios Liakis, Michalis Vazirgiannis
2015	A	`conf`	Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream. ICWSM Polykarpos Meladianos, Giannis Nikolentzos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis