Vazirgiannis, Michalis

50 publications

ICML 2025 Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine M. Aboussalah, Michalis Vazirgiannis

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

ICML 2025 Prediction via Shapley Value Regression Amr Alkhatib, Roman Bresson, Henrik Boström, Michalis Vazirgiannis

NeurIPS 2025 Prot2Text-V2: Protein Function Prediction with Multimodal Contrastive Alignment Xiao Fei, Michail Chatzianastasis, Sarah Almeida Carneiro, Hadi Abdine, Lawrence Paul Petalidis, 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

AAAI 2024 A Simple and yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström

ICLR 2024 Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström

ICMLW 2024 Geometric Self-Supervised Pretraining on 3D Protein Structures Using Subgraphs Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis

NeurIPS 2024 If You Want to Be Robust, Be Wary of Initialization Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou

AAAI 2024 Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis

ICMLW 2023 A Simple and yet Fairly Effective Defense for Graph Neural Networks Sofiane Ennadir, Yassine Abbahaddou, Michalis Vazirgiannis, Henrik Boström

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

NeurIPSW 2023 Graph Neural Networks on Discriminative Graphs of Words Yassine Abbahaddou, Johannes Lutzeyer, Michalis Vazirgiannis

AAAI 2023 Graph Ordering Attention Networks Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, 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

NeurIPSW 2023 Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis

NeurIPSW 2023 Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis

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

AISTATS 2022 Node Feature Kernels Increase Graph Convolutional Network Robustness Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis

NeurIPS 2022 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

ECML-PKDD 2022 Explaining Predictions by Characteristic Rules Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis

NeurIPSW 2022 Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank Ariel Ricardo Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis

NeurIPSW 2022 New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

ICLRW 2022 Sparsifying the Update Step in Graph Neural Networks Johannes F. Lutzeyer, Changmin Wu, 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

ICCVW 2021 Graph-Based Neural Architecture Search with Operation Embeddings Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis

ICLR 2021 Learning Parametrised Graph Shift Operators George Dasoulas, Johannes F. Lutzeyer, 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

ECML-PKDD 2020 Simple and Effective Graph Autoencoders with One-Hop Linear Models Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis

IJCAI 2019 A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha, Romain Hennequin, Viet-Anh Tran, 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

AAAI 2014 CoreCluster: A Degeneracy Based Graph Clustering Framework Christos Giatsidis, Fragkiskos D. Malliaros, Dimitrios M. Thilikos, Michalis Vazirgiannis

MLJ 2012 Guest Editors' Introduction: Special Issue of Selected Papers from ECML PKDD 2011 Dimitrios Gunopulos, Donato Malerba, Michalis Vazirgiannis

ECML-PKDD 2011 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part II Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis

ECML-PKDD 2011 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings, Part III Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis

ECML-PKDD 2011 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011. Proceedings, Part I Dimitrios Gunopulos, Thomas Hofmann, Donato Malerba, Michalis Vazirgiannis

JAIR 2010 Text Relatedness Based on a Word Thesaurus George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis

ECML-PKDD 2010 X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction Panagis Magdalinos, Anastasios Kapernekas, Alexandros Mpiratsis, Michalis Vazirgiannis

ECML-PKDD 2009 Omiotis: A Thesaurus-Based Measure of Text Relatedness George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis, Kjetil Nørvåg

IJCAI 2007 Word Sense Disambiguation with Spreading Activation Networks Generated from Thesauri George Tsatsaronis, Michalis Vazirgiannis, Ion Androutsopoulos