Semi-relaxed Gromov-Wasserstein divergence with applications on graphs

6 October 2021

Papers citing "Semi-relaxed Gromov-Wasserstein divergence with applications on graphs"

34 / 34 papers shown

Title
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 114 3 0 27 Jun 2024
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 352 1,148 0 27 Apr 2021
Online Graph Dictionary Learning Cédric Vincent-Cuaz Titouan Vayer Rémi Flamary Marco Corneli Nicolas Courty 48 46 0 12 Feb 2021
Learning Graphons via Structured Gromov-Wasserstein Barycenters Hongteng Xu Dixin Luo Lawrence Carin H. Zha 84 31 0 10 Dec 2020
The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation Thibault Séjourné François-Xavier Vialard Gabriel Peyré OT 62 70 0 09 Sep 2020
Generalized Spectral Clustering via Gromov-Wasserstein Learning Samir Chowdhury Tom Needham 43 54 0 07 Jun 2020
Partial Optimal Transport with Applications on Positive-Unlabeled Learning Laetitia Chapel Mokhtar Z. Alaya Gilles Gasso OT 31 8 0 19 Feb 2020
Gromov-Wasserstein Factorization Models for Graph Clustering Hongteng Xu 59 49 0 19 Nov 2019
GOT: An Optimal Transport framework for Graph comparison Hermina Petric Maretic Mireille El Gheche Giovanni Chierchia P. Frossard OT 129 119 0 05 Jun 2019
Wasserstein Weisfeiler-Lehman Graph Kernels Matteo Togninalli M. Ghisu Felipe Llinares-López Bastian Rieck Karsten Borgwardt 58 199 0 04 Jun 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 55 195 0 18 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 127 1,086 0 11 May 2019
A Survey on Graph Kernels Nils M. Kriege Fredrik D. Johansson Christopher Morris 133 418 0 28 Mar 2019
GAP: Generalizable Approximate Graph Partitioning Framework Azade Nazi W. Hang Anna Goldie Sujith Ravi Azalia Mirhoseini 61 61 0 02 Mar 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 89 259 0 17 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 754 8,526 0 03 Jan 2019
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties David Tellez G. Litjens J. A. van der Laak R. Tavenard F. Ciompi OT 75 127 0 07 Nov 2018
Mean-field theory of graph neural networks in graph partitioning T. Kawamoto Masashi Tsubaki T. Obuchi 72 58 0 29 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 192 1,634 0 04 Oct 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 65 90 0 12 Sep 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 292 2,146 0 22 Jun 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 63 273 0 23 May 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 217 2,147 0 01 Mar 2018
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems Florian Bernard Christian Theobalt Michael Möller 78 43 0 29 Nov 2017
Wasserstein Dictionary Learning: Optimal Transport-based unsupervised non-linear dictionary learning M. Schmitz Matthieu Heitz Nicolas Bonneel Fred-Maurice Ngole-Mboula D. Coeurjolly Marco Cuturi Gabriel Peyré Jean-Luc Starck OT 57 136 0 07 Aug 2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 155 194 0 07 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 799 3,281 0 24 Nov 2016
Optimal spectral transportation with application to music transcription Rémi Flamary Cédric Févotte Nicolas Courty Valentin Emiya OT 44 34 0 30 Sep 2016
Convergence Rate of Frank-Wolfe for Non-Convex Objectives Simon Lacoste-Julien 71 195 0 01 Jul 2016
Adjusting for Chance Clustering Comparison Measures Simone Romano X. Nguyen James Bailey Karin Verspoor 42 182 0 03 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,039 0 22 Dec 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 212 4,259 0 04 Jun 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 126 3,972 0 31 Oct 2012
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 194 190 0 11 Oct 2012