Michalis Vazirgiannis

Michalis Vazirgiannis

École Polytechnique

H-index: 60

Europe-France

About Michalis Vazirgiannis

Michalis Vazirgiannis, With an exceptional h-index of 60 and a recent h-index of 40 (since 2020), a distinguished researcher at École Polytechnique, specializes in the field of Deep / Machine Learning, Graph Machine Learning, Graph Neural Networks, NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Simple and Yet Fairly Effective Defense for Graph Neural Networks

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

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Prot2text: Multimodal protein’s function generation with GNNs and transformers

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

Assessing the Efficacy of Heuristic-Based Address Clustering for Bitcoin

Geometric random walk graph neural networks via implicit layers

GNNs and Graph Generative models for biomedical applications

Michalis Vazirgiannis Information

University

Position

Professor joint AUEB

Citations(all)

21087

Citations(since 2020)

6716

Cited By

16635

hIndex(all)

60

hIndex(since 2020)

40

i10Index(all)

191

i10Index(since 2020)

106

Email

University Profile Page

École Polytechnique

Google Scholar

View Google Scholar Profile

Michalis Vazirgiannis Skills & Research Interests

Deep / Machine Learning

Graph Machine Learning

Graph Neural Networks

NLP

Top articles of Michalis Vazirgiannis

Title

Journal

Author(s)

Publication Date

A Simple and Yet Fairly Effective Defense for Graph Neural Networks

AAAI Conference on Artificial Intelligence (AAAI)

Sofiane Ennadir

Yassine Abbahaddou

Johannes F Lutzeyer

Michalis Vazirgiannis

Henrik Boström

2024/2/21

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

arXiv preprint arXiv:2402.02862

Giannis Nikolentzos

Siyun Wang

Johannes Lutzeyer

Michalis Vazirgiannis

2024/2/5

Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks

Yassine ABBAHADDOU

Sofiane ENNADIR

Johannes F Lutzeyer

Michalis Vazirgiannis

Henrik Boström

2023/10/13

Prot2text: Multimodal protein’s function generation with GNNs and transformers

Proceedings of the AAAI Conference on Artificial Intelligence

Hadi Abdine

Michail Chatzianastasis

Costas Bouyioukos

Michalis Vazirgiannis

2024/3/24

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

arXiv preprint arXiv:2403.01535

Iakovos Evdaimon

Giannis Nikolentzos

Michail Chatzianastasis

Hadi Abdine

Michalis Vazirgiannis

2024/3/3

Assessing the Efficacy of Heuristic-Based Address Clustering for Bitcoin

arXiv preprint arXiv:2403.00523

Hugo Schnoering

Pierre Porthaux

Michalis Vazirgiannis

2024/3/1

Geometric random walk graph neural networks via implicit layers

Giannis Nikolentzos

Michalis Vazirgiannis

2023/4/11

GNNs and Graph Generative models for biomedical applications

Michalis Vazirgiannis

2023/4/30

Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series

arXiv preprint arXiv:2308.03210

Chrysoula Kosma

Giannis Nikolentzos

Michalis Vazirgiannis

2023/8/6

Explainable multilayer graph neural network for cancer gene prediction

Bioinformatics

Michail Chatzianastasis

Michalis Vazirgiannis

Zijun Zhang

2023/11/1

TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting

Nancy Xu

Chrysoula Kosma

Michalis Vazirgiannis

2023/11/28

Neural Ordinary Differential Equations for Modeling Epidemic Spreading

Transactions on Machine Learning Research

Chrysoula Kosma

Giannis Nikolentzos

George Panagopoulos

Jean-Marc Steyaert

Michalis Vazirgiannis

2023/4/9

Synthetic electronic health records generated with variational graph autoencoders

npj Digital Medicine

Giannis Nikolentzos

Michalis Vazirgiannis

Christos Xypolopoulos

Markus Lingman

Erik G Brandt

2023/4/29

Abstractive meeting summarization: A survey

Transactions of the Association for Computational Linguistics

Virgile Rennard

Guokan Shang

Julie Hunter

Michalis Vazirgiannis

2023/7/25

Supervised Attention Using Homophily in Graph Neural Networks

Michail Chatzianastasis

Giannis Nikolentzos

Michalis Vazirgiannis

2023/9/22

Heuristics for detecting coinjoin transactions on the bitcoin blockchain

arXiv preprint arXiv:2311.12491

Hugo Schnoering

Michalis Vazirgiannis

2023/11/21

Greekbart: The first pretrained greek sequence-to-sequence model

arXiv preprint arXiv:2304.00869

Iakovos Evdaimon

Hadi Abdine

Christos Xypolopoulos

Stamatis Outsios

Michalis Vazirgiannis

...

2023/4/3

What Do GNNs Actually Learn? Towards Understanding their Representations

arXiv preprint arXiv:2304.10851

Giannis Nikolentzos

Michail Chatzianastasis

Michalis Vazirgiannis

2023/4/21

Path neural networks: Expressive and accurate graph neural networks

Gaspard Michel

Giannis Nikolentzos

Johannes F Lutzeyer

Michalis Vazirgiannis

2023/7/3

Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation

Ashraf Ghiye

Baptiste Barreau

Laurent Carlier

Michalis Vazirgiannis

2023/9/14

See List of Professors in Michalis Vazirgiannis University(École Polytechnique)

Co-Authors

H-index: 63
Timos Sellis

Timos Sellis

Swinburne University of Technology

H-index: 44
Martin Erwig

Martin Erwig

Oregon State University

H-index: 38
Kjetil Nørvåg

Kjetil Nørvåg

Norges teknisk-naturvitenskaplige universitet

H-index: 34
Iraklis Varlamis

Iraklis Varlamis

Harokopio University

H-index: 29
Christos Doulkeridis

Christos Doulkeridis

University of Piraeus

H-index: 26
Akrivi Vlachou

Akrivi Vlachou

University of the Aegean

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