Wasserstein Weisfeiler-Lehman Graph Kernels

4 June 2019

Matteo Togninalli

M. Ghisu

Felipe Llinares-López

Bastian Rieck

Karsten Borgwardt

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Papers citing "Wasserstein Weisfeiler-Lehman Graph Kernels"

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Title
Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks Han Zhang Yan Wang Guanfeng Liu Pengfei Ding Huaxiong Wang Kwok-Yan Lam 47 0 0 20 May 2025
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 118 1 0 21 Oct 2024
GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning Jiale Fu Yaqing Wang Simeng Han Jiaming Fan Chen Si 65 1 0 03 Oct 2024
Wasserstein Embedding for Graph Learning Soheil Kolouri Navid Naderializadeh Gustavo K. Rohde Heiko Hoffmann GNN 48 86 0 16 Jun 2020
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 57 256 0 17 Jan 2019
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 125 2,133 0 01 Mar 2018
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration Jason M. Altschuler Jonathan Niles-Weed Philippe Rigollet OT 51 586 0 26 May 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 131 4,817 0 26 Jan 2017
Faster Kernels for Graphs with Continuous Attributes via Hashing Christopher Morris Nils M. Kriege Kristian Kersting Petra Mutzel 33 100 0 01 Oct 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 424 28,795 0 09 Sep 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 62 213 0 03 Jun 2016
Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri Yang Zou Gustavo K. Rohde 26 159 0 10 Nov 2015
On the Definiteness of Earth Mover's Distance and Its Relation to Set Intersection Andrew Gardner C. A. Duncan Jinko Kanno R. Selmic 25 13 0 09 Oct 2015
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 145 3,337 0 30 Sep 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 29 598 0 17 Jun 2015
Geodesic Exponential Kernels: When Curvature and Linearity Conflict Aasa Feragen F. Lauze Søren Hauberg BDL 33 144 0 02 Nov 2014
Propagation Kernels Marion Neumann Roman Garnett Christian Bauckhage Kristian Kersting 44 261 0 13 Oct 2014
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 121 4,210 0 04 Jun 2013
Subgraph Matching Kernels for Attributed Graphs Nils Kriege Petra Mutzel 36 276 0 27 Jun 2012
Fréchet Means for Distributions of Persistence diagrams Katharine Turner Yuriy Mileyko S. Mukherjee J. Harer 55 262 0 13 Jun 2012
Graph Kernels S.V.N. Vishwanathan Karsten Borgwardt I. Kondor N. Schraudolph 117 1,202 0 01 Jul 2008
The optimal assignment kernel is not positive definite Jean-Philippe Vert 88 89 0 26 Jan 2008