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The Transformer Network for the Traveling Salesman Problem


Mar 04, 2021
Xavier Bresson, Thomas Laurent


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A Generalization of Transformer Networks to Graphs


Jan 24, 2021
Vijay Prakash Dwivedi, Xavier Bresson

* AAAI 2021 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-AAAI 2021); Code at https://github.com/graphdeeplearning/graphtransformer 

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An Experimental Study of the Transferability of Spectral Graph Networks


Dec 18, 2020
Axel Nilsson, Xavier Bresson

* 5 pages, AAAI 2021 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-AAAI 2021) 

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Learning TSP Requires Rethinking Generalization


Jun 12, 2020
Chaitanya K. Joshi, Quentin Cappart, Louis-Martin Rousseau, Thomas Laurent, Xavier Bresson

* Code and data available at https://github.com/chaitjo/learning-tsp 

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Benchmarking Graph Neural Networks


Mar 02, 2020
Vijay Prakash Dwivedi, Chaitanya K. Joshi, Thomas Laurent, Yoshua Bengio, Xavier Bresson


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Multi-Graph Transformer for Free-Hand Sketch Recognition


Dec 24, 2019
Peng Xu, Chaitanya K. Joshi, Xavier Bresson


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On Learning Paradigms for the Travelling Salesman Problem


Oct 31, 2019
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson

* Presented at the NeurIPS 2019 Graph Representation Learning Workshop 

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A Two-Step Graph Convolutional Decoder for Molecule Generation


Jun 15, 2019
Xavier Bresson, Thomas Laurent


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An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem


Jun 04, 2019
Chaitanya K. Joshi, Thomas Laurent, Xavier Bresson


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GraphTSNE: A Visualization Technique for Graph-Structured Data


Apr 23, 2019
Yao Yang Leow, Thomas Laurent, Xavier Bresson

* Published as a workshop paper at ICLR 2019 

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CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters


Oct 31, 2018
Ron Levie, Federico Monti, Xavier Bresson, Michael M. Bronstein


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Residual Gated Graph ConvNets


Apr 24, 2018
Xavier Bresson, Thomas Laurent


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Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks


Apr 22, 2017
Federico Monti, Michael M. Bronstein, Xavier Bresson


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Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering


Feb 05, 2017
Michaël Defferrard, Xavier Bresson, Pierre Vandergheynst

* Advances in Neural Information Processing Systems 29 (2016) 
* NIPS 2016 final revision 

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Structured Sequence Modeling with Graph Convolutional Recurrent Networks


Dec 22, 2016
Youngjoo Seo, Michaël Defferrard, Pierre Vandergheynst, Xavier Bresson


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Source Localization on Graphs via l1 Recovery and Spectral Graph Theory


Nov 19, 2016
Rodrigo Pena, Xavier Bresson, Pierre Vandergheynst

* 5 pages, 5 figures, published in "Image, Video, and Multidimensional Signal Processing Workshop (IVMSP), 2016 IEEE 12th" 

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Song Recommendation with Non-Negative Matrix Factorization and Graph Total Variation


Jan 13, 2016
Kirell Benzi, Vassilis Kalofolias, Xavier Bresson, Pierre Vandergheynst

* Code available at: https://github.com/kikohs/recog 

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Enhanced Lasso Recovery on Graph


Jun 19, 2015
Xavier Bresson, Thomas Laurent, James von Brecht


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Robust Principal Component Analysis on Graphs


Apr 23, 2015
Nauman Shahid, Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst


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Functional correspondence by matrix completion


Dec 27, 2014
Artiom Kovnatsky, Michael M. Bronstein, Xavier Bresson, Pierre Vandergheynst


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Matrix Completion on Graphs


Nov 27, 2014
Vassilis Kalofolias, Xavier Bresson, Michael Bronstein, Pierre Vandergheynst

* Version of NIPS 2014 workshop "Out of the Box: Robustness in High Dimension" 

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Consistency of Cheeger and Ratio Graph Cuts


Nov 24, 2014
Nicolas Garcia Trillos, Dejan Slepcev, James von Brecht, Thomas Laurent, Xavier Bresson


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An Incremental Reseeding Strategy for Clustering


Jun 15, 2014
Xavier Bresson, Huiyi Hu, Thomas Laurent, Arthur Szlam, James von Brecht


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Multiclass Total Variation Clustering


Jun 05, 2013
Xavier Bresson, Thomas Laurent, David Uminsky, James H. von Brecht


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Enhanced Compressed Sensing Recovery with Level Set Normals


Oct 11, 2012
Virginia Estellers, Jean-Philippe Thiran, Xavier Bresson


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TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification


Oct 02, 2012
Xavier Bresson, Ruiliang Zhang


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