Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream. - Polykarpos Meladianos; Giannis Nikolentzos; François Rousseau 001; Yannis Stavrakas; Michalis Vazirgiannis (ICWSM, 2015)

AUEB at TREC 2015: Clinical Decision Support Track. - Giannis Nikolentzos; Polykarpos Meladianos; Nektarios Liakis; Michalis Vazirgiannis (TREC, 2015)

Matching Node Embeddings for Graph Similarity. - Giannis Nikolentzos; Polykarpos Meladianos; Michalis Vazirgiannis (AAAI, 2017)

Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization. - Giannis Nikolentzos; Polykarpos Meladianos; François Rousseau 001; Yannis Stavrakas; Michalis Vazirgiannis (EACL (2), 2017)

Real-Time Keyword Extraction from Conversations. - Polykarpos Meladianos; Antoine J.-P. Tixier; Giannis Nikolentzos; Michalis Vazirgiannis (EACL (2), 2017)

Shortest-Path Graph Kernels for Document Similarity. - Giannis Nikolentzos; Polykarpos Meladianos; François Rousseau 001; Yannis Stavrakas; Michalis Vazirgiannis (EMNLP, 2017)

K-Clique-Graphs for Dense Subgraph Discovery. - Giannis Nikolentzos; Polykarpos Meladianos; Yannis Stavrakas; Michalis Vazirgiannis (ECML/PKDD (1), 2017)

Classifying Graphs as Images with Convolutional Neural Networks. - Antoine Jean-Pierre Tixier; Giannis Nikolentzos; Polykarpos Meladianos; Michalis Vazirgiannis (CoRR, 2017)

Machine learning on graphs: algorithms and applications - Giannis Nikolentzos (2017)

Enhancing Graph Kernels via Successive Embeddings. - Giannis Nikolentzos; Michalis Vazirgiannis (CIKM, 2018)

GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. - Michalis Vazirgiannis; Fragkiskos D. Malliaros; Giannis Nikolentzos (CIKM, 2018)

Learning Structural Node Representations on Directed Graphs. - Niklas Steenfatt; Giannis Nikolentzos; Michalis Vazirgiannis; Qiang Zhao (COMPLEX NETWORKS (2), 2018)

An Optimization Approach for Sub-event Detection and Summarization in Twitter. - Polykarpos Meladianos; Christos Xypolopoulos; Giannis Nikolentzos; Michalis Vazirgiannis (ECIR, 2018)

Kernel Graph Convolutional Neural Networks. - Giannis Nikolentzos; Polykarpos Meladianos; Antoine Jean-Pierre Tixier; Konstantinos Skianis; Michalis Vazirgiannis (ICANN (1), 2018)

A Degeneracy Framework for Graph Similarity. - Giannis Nikolentzos; Polykarpos Meladianos; Stratis Limnios; Michalis Vazirgiannis (IJCAI, 2018)

Message Passing Graph Kernels. - Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 2018)

Machine Learning on Graphs with Kernels. - Michalis Vazirgiannis; Giannis Nikolentzos; Giannis Siglidis (CIKM, 2019)

Matching Node Embeddings Using Valid Assignment Kernels. - Changmin Wu; Giannis Nikolentzos; Michalis Vazirgiannis (COMPLEX NETWORKS (1), 2019)

Graph Classification with 2D Convolutional Neural Networks. - Antoine J.-P. Tixier; Giannis Nikolentzos; Polykarpos Meladianos; Michalis Vazirgiannis (ICANN (Workshop), 2019)

Revisiting the Graph Isomorphism Problem with Semidefinite Programming. - Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 2019)

Rooted citation graphs density metrics for research papers influence evaluation. - Christos Giatsidis; Giannis Nikolentzos; Chenhui Zhang; Jie Tang 001; Michalis Vazirgiannis (J. Informetrics, 2019)

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

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

Image Classification Using Graph-Based Representations and Graph Neural Networks. - Giannis Nikolentzos; Michalis Thomas; Adín Ramírez Rivera; Michalis Vazirgiannis (COMPLEX NETWORKS (2), 2020)

Graph Auto-Encoders for Learning Edge Representations. - Virgile Rennard; Giannis Nikolentzos; Michalis Vazirgiannis (COMPLEX NETWORKS (2), 2020)

EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. - Changmin Wu; Giannis Nikolentzos; Michalis Vazirgiannis (ICANN (1), 2020)

Random Walk Graph Neural Networks. - Giannis Nikolentzos; Michalis Vazirgiannis (NeurIPS, 2020)

Ego-based Entropy Measures for Structural Representations. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (CoRR, 2020)

United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. - George Panagopoulos; Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 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)

k-hop graph neural networks. - Giannis Nikolentzos; George Dasoulas; Michalis Vazirgiannis (Neural Networks, 2020)

Can Author Collaboration Reveal Impact? The Case of h-index. - Giannis Nikolentzos; George Panagopoulos; Iakovos Evdaimon; Michalis Vazirgiannis (Predicting the Dynamics of Research Impact, 2021)

Transfer Graph Neural Networks for Pandemic Forecasting. - George Panagopoulos; Giannis Nikolentzos; Michalis Vazirgiannis (AAAI, 2021)

Image Keypoint Matching Using Graph Neural Networks. - Nancy Xu; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström (COMPLEX NETWORKS, 2021)

An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. - Giannis Nikolentzos; George Panagopoulos; Michalis Vazirgiannis (ICANN (3), 2021)

Ego-Based Entropy Measures for Structural Representations on Graphs. - George Dasoulas; Giannis Nikolentzos; Kevin Scaman; Aladin Virmaux; Michalis Vazirgiannis (ICASSP, 2021)

Can Author Collaboration Reveal Impact? The Case of h-index. - Giannis Nikolentzos; George Panagopoulos; Iakovos Evdaimon; Michalis Vazirgiannis (CoRR, 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)

Graph Kernels: A Survey. - Giannis Nikolentzos; Giannis Siglidis; Michalis Vazirgiannis (J. Artif. Intell. Res., 2021)

Learning Structural Node Representations Using Graph Kernels. - Giannis Nikolentzos; Michalis Vazirgiannis (IEEE Trans. Knowl. Data Eng., 2021)

Time Series Forecasting Models Copy the Past: How to Mitigate. - Chrysoula Kosma; Giannis Nikolentzos; Nancy Xu; Michalis Vazirgiannis (ICANN (1), 2022)

Mass Enhanced Node Embeddings for Drug Repurposing. - Michail Chatzianastasis; Giannis Nikolentzos; Michalis Vazirgiannis (SETN, 2022)

Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. - Giannis Nikolentzos; Michail Chatzianastasis; Michalis Vazirgiannis (AISTATS, 2023)

Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. - Giannis Nikolentzos; Michalis Vazirgiannis (AISTATS, 2023)

Geometric Random Walk Graph Neural Networks via Implicit Layers. - Giannis Nikolentzos; Michalis Vazirgiannis (AISTATS, 2023)

UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. - Sofiane Ennadir; Amr Alkhatib; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström (COMPLEX NETWORKS (1), 2023)

Supervised Attention Using Homophily in Graph Neural Networks. - Michail Chatzianastasis; Giannis Nikolentzos; Michalis Vazirgiannis (ICANN (4), 2023)

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

Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series. - Chrysoula Kosma; Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 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)

Neural Ordinary Differential Equations for Modeling Epidemic Spreading. - Chrysoula Kosma; Giannis Nikolentzos; George Panagopoulos; Jean-Marc Steyaert; Michalis Vazirgiannis (Trans. Mach. Learn. Res., 2023)

Permute Me Softly: Learning Soft Permutations for Graph Representations. - Giannis Nikolentzos; George Dasoulas; Michalis Vazirgiannis (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

What Do GNNs Actually Learn? Towards Understanding Their Representations. - Giannis Nikolentzos; Michail Chatzianastasis; Michalis Vazirgiannis (LoG, 2024)

Generating graph perturbations to enhance the generalization of GNNs. - Sofiane Ennadir; Giannis Nikolentzos; Michalis Vazirgiannis; Henrik Boström (AI Open, 2024)

Graph Neural Machine: A New Model for Learning with Tabular Data. - Giannis Nikolentzos; Siyun Wang; Johannes F. Lutzeyer; 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)

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)

Graph Reasoning with Large Language Models via Pseudo-code Prompting. - Konstantinos Skianis; Giannis Nikolentzos; Michalis Vazirgiannis (CoRR, 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)

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

KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. - Roman Bresson; Giannis Nikolentzos; George Panagopoulos; Michail Chatzianastasis; Jun Pang 001; Michalis Vazirgiannis (Trans. Mach. Learn. Res., 2025)

On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets. - Giannis Nikolentzos; Konstantinos Skianis (CoRR, 2025)