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Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound
v1v2 (latest)

Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound

12 May 2022
Hongwei Jin
Zishun Yu
Xinhua Zhang
ArXiv (abs)PDFHTML

Papers citing "Orthogonal Gromov-Wasserstein Discrepancy with Efficient Lower Bound"

11 / 11 papers shown
Title
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
178
1,243
0
04 Nov 2020
Sliced Gromov-Wasserstein
Sliced Gromov-Wasserstein
Titouan Vayer
Rémi Flamary
Romain Tavenard
Laetitia Chapel
Nicolas Courty
OT
71
100
0
24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching
Hongteng Xu
Dixin Luo
Lawrence Carin
64
197
0
18 May 2019
Similarity of Neural Network Representations Revisited
Similarity of Neural Network Representations Revisited
Simon Kornblith
Mohammad Norouzi
Honglak Lee
Geoffrey E. Hinton
143
1,436
0
01 May 2019
Graph Neural Networks for Social Recommendation
Graph Neural Networks for Social Recommendation
Wenqi Fan
Yao Ma
Qing Li
Yuan He
Yue Zhao
Jiliang Tang
Dawei Yin
256
1,909
0
19 Feb 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Gromov-Wasserstein Learning for Graph Matching and Node Embedding
Hongteng Xu
Dixin Luo
H. Zha
Lawrence Carin
107
260
0
17 Jan 2019
Gromov-Wasserstein Alignment of Word Embedding Spaces
Gromov-Wasserstein Alignment of Word Embedding Spaces
David Alvarez-Melis
Tommi Jaakkola
OT
56
328
0
31 Aug 2018
GraKeL: A Graph Kernel Library in Python
GraKeL: A Graph Kernel Library in Python
Giannis Siglidis
Giannis Nikolentzos
Stratis Limnios
C. Giatsidis
Konstantinos Skianis
Michalis Vazirgiannis
GP
47
158
0
06 Jun 2018
Optimal Transport for structured data with application on graphs
Optimal Transport for structured data with application on graphs
Titouan Vayer
Laetitia Chapel
Rémi Flamary
R. Tavenard
Nicolas Courty
OT
75
274
0
23 May 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
815
3,302
0
24 Nov 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
371
7,680
0
30 Jun 2016
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