2026 Xavier Bresson: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	45	6995	6793	91	91	118	17420

Overview

Xavier Bresson is affiliated with the National University of Singapore in Singapore. Their research primarily focuses on computer science, with an emphasis on artificial intelligence and its applications in graph neural networks and related computational techniques.

The scientist has contributed extensively to the study of advanced graph neural networks, demonstrating interest and expertise in graph theory and algorithms as well as complex network analysis techniques. Their work also spans interdisciplinary topics such as machine learning in materials science, genomics and phylogenetic studies, and RNA and protein synthesis mechanisms.

Frequent co-authors collaborating with Xavier Bresson include Laurent Thomas, Vijay Prakash Dwivedi, Thomas Laurent, Yoshua Bengio, and Anh Tuan Luu. These collaborations underscore a network of researchers involved in similar artificial intelligence and computational fields.

Publication venues for their work are notable for a strong representation in:

arXiv (Cornell University)
Zenodo (CERN European Organization for Nuclear Research)
IEEE Transactions on Neural Networks and Learning Systems
Genome Research
bioRxiv (Cold Spring Harbor Laboratory)

Recent research papers authored or co-authored by Xavier Bresson include:

"A Generalization of Transformer Networks to Graphs" (2020), published in arXiv (Cornell University)
"Benchmarking Graph Neural Networks" (2020), published in arXiv (Cornell University)
"Multigraph Transformer for Free-Hand Sketch Recognition" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
"Graph Neural Networks with Learnable Structural and Positional Representations" (2021), published in arXiv (Cornell University)
"The Transformer Network for the Traveling Salesman Problem" (2021), published in arXiv (Cornell University)

Best Publications

Convolutional neural networks on graphs with fast localized spectral filtering

Michaël Defferrard;Xavier Bresson;Pierre Vandergheynst

6819
Citations
Fast Global Minimization of the Active Contour/Snake Model

Xavier Bresson;Selim Esedoglu;Pierre Vandergheynst;Jean-Philippe Thiran

1178
Citations
Structured Sequence Modeling with Graph Convolutional Recurrent Networks

Youngjoo Seo;Michaël Defferrard;Pierre Vandergheynst;Xavier Bresson

807
Citations
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction

Xiaoqun Zhang;Martin Burger;Xavier Bresson;Stanley Osher

803
Citations
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters

Ron Levie;Federico Monti;Xavier Bresson;Michael M. Bronstein

669
Citations
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction

Tom Goldstein;Xavier Bresson;Stanley Osher

602
Citations
Fast dual minimization of the vectorial total variation norm and applications to color image processing

Xavier Bresson;Tony F. Chan

497
Citations
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks

Federico Monti;Michael M. Bronstein;Xavier Bresson

417
Citations
Benchmarking Graph Neural Networks

Vijay Prakash Dwivedi;Chaitanya K. Joshi;Thomas Laurent;Yoshua Bengio

363
Citations
A Generalization of Transformer Networks to Graphs

Vijay Prakash Dwivedi;Xavier Bresson

321
Citations
Local Histogram Based Segmentation Using the Wasserstein Distance

Kangyu Ni;Xavier Bresson;Tony Chan;Selim Esedoglu

303
Citations
Residual Gated Graph ConvNets

Xavier Bresson;Thomas Laurent

289
Citations
FMA: A Dataset for Music Analysis.

Michaël Defferrard;Kirell Benzi;Pierre Vandergheynst;Xavier Bresson

241
Citations
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Chaitanya K. Joshi;Thomas Laurent;Xavier Bresson

230
Citations
Completely Convex Formulation of the Chan-Vese Image Segmentation Model

Ethan S. Brown;Tony F. Chan;Xavier Bresson

228
Citations
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional

Xavier Bresson;Pierre Vandergheynst;Jean-Philippe Thiran

223
Citations
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge

Sylvia Rueda;Sana Fathima;Caroline L. Knight;Mohammad Yaqub

204
Citations
Matrix Completion on Graphs

Vassilis Kalofolias;Xavier Bresson;Michael M. Bronstein;Pierre Vandergheynst

162
Citations
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.

Sébastien Tourbier;Xavier Bresson;Patric Hagmann;Jean-Philippe Thiran

157
Citations
Total variation and cheeger cuts

Arthur Szlam;Xavier Bresson

140
Citations

Frequent Co-Authors

Jean-Philippe Thiran École Polytechnique Fédérale de Lausanne

Pierre Vandergheynst École Polytechnique Fédérale de Lausanne

Michael M. Bronstein University of Oxford

Patric Hagmann University of Lausanne

Tony F. Chan University of California, Los Angeles

Arthur Szlam DeepMind (United Kingdom)

Stanley Osher University of California, Los Angeles

Sergiu Nedevschi Technical University of Cluj-Napoca

J. Alison Noble University of Oxford

Peng Xu Chinese Academy of Sciences

External Links

Personal website of Xavier Bresson Google Scholar page

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