Giannis Nikolentzos

According to our database, Giannis Nikolentzos authored at least 61 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Graph Linearization Methods for Reasoning on Graphs with Large Language Models.

Christos Xypolopoulos, Guokan Shang, Xiao Fei, Giannis Nikolentzos, Hadi Abdine, Iakovos Evdaimon, Michail Chatzianastasis, Giorgos Stamou, Michalis Vazirgiannis

CoRR, 2024

Graph Reasoning with Large Language Models via Pseudo-code Prompting.

Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2024

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings.

Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis

CoRR, 2024

Metrics to Detect Small-Scale and Large-Scale Citation Orchestration.

Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis

CoRR, 2024

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.

Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis

CoRR, 2024

Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models.

Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis

CoRR, 2024

Graph Neural Machine: A New Model for Learning with Tabular Data.

Giannis Nikolentzos, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis

CoRR, 2024

Generating graph perturbations to enhance the generalization of GNNs.

Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

AI Open, 2024

2023

Permute Me Softly: Learning Soft Permutations for Graph Representations.

Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Neural Ordinary Differential Equations for Modeling Epidemic Spreading.

Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis

Trans. Mach. Learn. Res., 2023

Synthetic electronic health records generated with variational graph autoencoders.

Giannis Nikolentzos, Michalis Vazirgiannis, Christos Xypolopoulos, Markus Lingman, Erik G. Brandt

npj Digit. Medicine, 2023

Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series.

Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2023

What Do GNNs Actually Learn? Towards Understanding their Representations.

Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

CoRR, 2023

Path Neural Networks: Expressive and Accurate Graph Neural Networks.

Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis

Proceedings of the International Conference on Machine Learning, 2023

Supervised Attention Using Homophily in Graph Neural Networks.

Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks.

Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

Proceedings of the Complex Networks & Their Applications XII, 2023

Geometric Random Walk Graph Neural Networks via Implicit Layers.

Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Graph Alignment Kernels using Weisfeiler and Leman Hierarchies.

Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations.

Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Mass Enhanced Node Embeddings for Drug Repurposing.

Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the SETN 2022: 12th Hellenic Conference on Artificial Intelligence, Corfu, Greece, September 7, 2022

Time Series Forecasting Models Copy the Past: How to Mitigate.

Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Learning Structural Node Representations Using Graph Kernels.

Giannis Nikolentzos, Michalis Vazirgiannis

IEEE Trans. Knowl. Data Eng., 2021

Graph Kernels: A Survey.

Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis

J. Artif. Intell. Res., 2021

NLP Research and Resources at DaSciM, Ecole Polytechnique.

Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis

CoRR, 2021

Can Author Collaboration Reveal Impact? The Case of h-index.

Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis

CoRR, 2021

Ego-Based Entropy Measures for Structural Representations on Graphs.

George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis

Proceedings of the IEEE International Conference on Acoustics, 2021

An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks.

Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Image Keypoint Matching Using Graph Neural Networks.

Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström

Proceedings of the Complex Networks & Their Applications X - Volume 2, Proceedings of the Tenth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021, Madrid, Spain, November 30, 2021

Transfer Graph Neural Networks for Pandemic Forecasting.

George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Can Author Collaboration Reveal Impact? The Case of h-index.

Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis

Proceedings of the Predicting the Dynamics of Research Impact, 2021

2020

k-hop graph neural networks.

Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis

Neural Networks, 2020

GraKeL: A Graph Kernel Library in Python.

Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis

J. Mach. Learn. Res., 2020

United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting.

George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2020

Ego-based Entropy Measures for Structural Representations.

George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis

CoRR, 2020

Random Walk Graph Neural Networks.

Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs.

Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Graph Auto-Encoders for Learning Edge Representations.

Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Complex Networks & Their Applications IX, 2020

Image Classification Using Graph-Based Representations and Graph Neural Networks.

Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis

Proceedings of the Complex Networks & Their Applications IX, 2020

Rep the Set: Neural Networks for Learning Set Representations.

Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Message Passing Attention Networks for Document Understanding.

Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Rooted citation graphs density metrics for research papers influence evaluation.

Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis

J. Informetrics, 2019

Revisiting the Graph Isomorphism Problem with Semidefinite Programming.

Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2019

Graph Classification with 2D Convolutional Neural Networks.

Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Matching Node Embeddings Using Valid Assignment Kernels.

Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Complex Networks and Their Applications VIII, 2019

Machine Learning on Graphs with Kernels.

Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Message Passing Graph Kernels.

Giannis Nikolentzos, Michalis Vazirgiannis

CoRR, 2018

A Degeneracy Framework for Graph Similarity.

Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Kernel Graph Convolutional Neural Networks.

Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

An Optimization Approach for Sub-event Detection and Summarization in Twitter.

Polykarpos Meladianos, Christos Xypolopoulos, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the Advances in Information Retrieval, 2018

Learning Structural Node Representations on Directed Graphs.

Niklas Steenfatt, Giannis Nikolentzos, Michalis Vazirgiannis, Qiang Zhao

Proceedings of the Complex Networks and Their Applications VII, 2018

GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs.

Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Enhancing Graph Kernels via Successive Embeddings.

Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Machine learning on graphs: algorithms and applications

Giannis Nikolentzos

PhD thesis, 2017

Classifying Graphs as Images with Convolutional Neural Networks.

Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

CoRR, 2017

K-Clique-Graphs for Dense Subgraph Discovery.

Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Shortest-Path Graph Kernels for Document Similarity.

Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Real-Time Keyword Extraction from Conversations.

Polykarpos Meladianos, Antoine J.-P. Tixier, Giannis Nikolentzos, Michalis Vazirgiannis

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization.

Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Matching Node Embeddings for Graph Similarity.

Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

AUEB at TREC 2015: Clinical Decision Support Track.

Giannis Nikolentzos, Polykarpos Meladianos, Nektarios Liakis, Michalis Vazirgiannis

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream.

Polykarpos Meladianos, Giannis Nikolentzos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis

Proceedings of the Ninth International Conference on Web and Social Media, 2015