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2006.09430
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Wasserstein Embedding for Graph Learning
16 June 2020
Soheil Kolouri
Navid Naderializadeh
Gustavo K. Rohde
Heiko Hoffmann
GNN
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Papers citing
"Wasserstein Embedding for Graph Learning"
50 / 87 papers shown
Fast Estimation of Wasserstein Distances via Regression on Sliced Wasserstein Distances
Khai Nguyen
Hai Nguyen
N. Ho
OT
3DPC
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202
2
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24 Sep 2025
EMPEROR: Efficient Moment-Preserving Representation of Distributions
Hengrong Du
Shansita D. Sharma
Soheil Kolouri
114
0
0
19 Sep 2025
Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems
Saptarshi Nath
Christos Peridis
Eseoghene Benjamin
Hengrong Du
Soheil Kolouri
Peter Kinnell
Zexin Li
Cong Liu
Shirin Dora
Andrea Soltoggio
375
0
0
05 Jun 2025
Constrained Sliced Wasserstein Embedding
Navid Naderializadeh
Darian Salehi
Hengrong Du
Soheil Kolouri
289
6
0
02 Jun 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
Zhichen Zeng
Ruizhong Qiu
Wenxuan Bao
Tianxin Wei
Xiao Lin
Yuchen Yan
Tarek Abdelzaher
Jiawei Han
Hanghang Tong
OOD
AI4CE
494
17
0
19 May 2025
Personalized Federated Learning under Model Dissimilarity Constraints
Samuel Erickson
Mikael Johansson
FedML
768
0
0
12 May 2025
Embedding Empirical Distributions for Computing Optimal Transport Maps
International Symposium on Information Theory (ISIT), 2025
Mingchen Jiang
Peng Xu
Xichen Ye
Xiaohui Chen
Yun Yang
Yifan Chen
OT
422
1
0
24 Apr 2025
Network Embedding Exploration Tool (NEExT)
Ashkan Dehghan
P. Prałat
F. Théberge
GNN
244
1
0
20 Mar 2025
Wasserstein-based Kernel Principal Component Analysis for Clustering Applications
Alfredo Oneto
B. Gjorgiev
G. Sansavini
333
2
0
18 Mar 2025
Linear Partial Gromov-Wasserstein Embedding
International Conference on Learning Representations (ICLR), 2024
Yikun Bai
Abihith Kothapalli
Huy Tran
Rocio Diaz Martin
Soheil Kolouri
484
0
0
22 Oct 2024
Expected Sliced Transport Plans
International Conference on Learning Representations (ICLR), 2024
Hengrong Du
Rocio Diaz Martin
Yikun Bai
Ashkan Shahbazi
Matthew Thorpe
Akram Aldroubi
Soheil Kolouri
OT
297
11
0
16 Oct 2024
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
Yonatan Sverdlov
Yair Davidson
Nadav Dym
Tal Amir
352
8
0
10 Oct 2024
Molecular Graph Representation Learning via Structural Similarity Information
Chengyu Yao
Hong Huang
Hang Gao
Fengge Wu
Haiming Chen
Junsuo Zhao
233
2
0
13 Sep 2024
Graph Classification via Reference Distribution Learning: Theory and Practice
Neural Information Processing Systems (NeurIPS), 2024
Zixiao Wang
Jicong Fan
257
10
0
21 Aug 2024
Ironing the Graphs: Toward a Correct Geometric Analysis of Large-Scale Graphs
Saloua Naama
John H. Loth
Mathieu Barthet
216
0
0
31 Jul 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
407
13
0
06 Feb 2024
Spectral Clustering for Discrete Distributions
Zixiao Wang
Dong Qiao
Jicong Fan
254
0
0
25 Jan 2024
SeTformer is What You Need for Vision and Language
Pourya Shamsolmoali
Masoumeh Zareapoor
Eric Granger
Michael Felsberg
327
7
0
07 Jan 2024
Non-isotropic Persistent Homology: Leveraging the Metric Dependency of PH
LOG IN (LOG IN), 2023
Vincent P. Grande
Michael T. Schaub
275
4
0
25 Oct 2023
Hierarchical Multi-Marginal Optimal Transport for Network Alignment
AAAI Conference on Artificial Intelligence (AAAI), 2023
Zhichen Zeng
Boxin Du
Si Zhang
Yinglong Xia
Zhining Liu
Hanghang Tong
OT
441
38
0
06 Oct 2023
Flow Factorized Representation Learning
Neural Information Processing Systems (NeurIPS), 2023
Yue Song
Thomas Anderson Keller
Andrii Zadaianchuk
Max Welling
DRL
OOD
369
8
0
22 Sep 2023
Generalized Sum Pooling for Metric Learning
IEEE International Conference on Computer Vision (ICCV), 2023
†. YetiZ.Gürbüz
Ozan Sener
Alatan RSiM
FedML
378
10
0
18 Aug 2023
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud Classification
Abihith Kothapalli
Ashkan Shahbazi
Hengrong Du
Robert Sheng
Soheil Kolouri
3DPC
265
5
0
08 Jun 2023
Fisher Information Embedding for Node and Graph Learning
International Conference on Machine Learning (ICML), 2023
Dexiong Chen
Paolo Pellizzoni
Karsten Borgwardt
GNN
327
4
0
12 May 2023
Technical report: Graph Neural Networks go Grammatical
Jason Piquenot
Aldo Moscatelli
Maxime Bérar
Pierre Héroux
R. Raveaux
Jean-Yves Ramel
Sébastien Adam
270
1
0
02 Mar 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification
International Conference on Information and Knowledge Management (CIKM), 2022
Yoonhyuk Choi
Jiho Choi
Taewook Ko
Chong-Kwon Kim
431
14
0
20 Feb 2023
Linear Optimal Partial Transport Embedding
International Conference on Machine Learning (ICML), 2023
Yikun Bai
Ivan Medri
Rocio Diaz Martin
Rana Muhammad Shahroz Khan
Soheil Kolouri
OT
452
11
0
07 Feb 2023
Regularized Optimal Transport Layers for Generalized Global Pooling Operations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Hongteng Xu
Minjie Cheng
329
6
0
13 Dec 2022
Estimation of the Sample Frechet Mean: A Convolutional Neural Network Approach
A. Sánchez
Franccois G. Meyer
205
0
0
13 Oct 2022
Hybrid Gromov-Wasserstein Embedding for Capsule Learning
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Pourya Shamsolmoali
Masoumeh Zareapoor
Swagatam Das
Mohammadhadi Shateri
Salvador García
MedIm
421
3
0
01 Sep 2022
Wasserstein Task Embedding for Measuring Task Similarities
Neural Networks (NN), 2022
Hengrong Du
Yikun Bai
Yuzhe Lu
Andrea Soltoggio
Soheil Kolouri
OT
233
43
0
24 Aug 2022
Transport-Oriented Feature Aggregation for Speaker Embedding Learning
Interspeech (Interspeech), 2022
Yusheng Tian
Jingyu Li
Tan Lee
163
1
0
26 Jun 2022
Template based Graph Neural Network with Optimal Transport Distances
Neural Information Processing Systems (NeurIPS), 2022
Cédric Vincent-Cuaz
Rémi Flamary
Marco Corneli
Titouan Vayer
Nicolas Courty
OT
250
28
0
31 May 2022
Embedding Graphs on Grassmann Manifold
Neural Networks (NN), 2022
Bingxin Zhou
Xuebin Zheng
Yu Guang Wang
Ming Li
Junbin Gao
252
4
0
30 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks
International Conference on Machine Learning (ICML), 2022
Zhongyu Huang
Yingheng Wang
Chaozhuo Li
Huiguang He
266
35
0
28 May 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
179
1
0
26 Apr 2022
Supervised Contrastive Learning with Structure Inference for Graph Classification
IEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Hao Jia
Junzhong Ji
Minglong Lei
183
20
0
15 Mar 2022
On a linear fused Gromov-Wasserstein distance for graph structured data
Pattern Recognition (Pattern Recogn.), 2022
Dai Hai Nguyen
Koji Tsuda
OT
209
17
0
09 Mar 2022
Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks
International Conference on Machine Learning (ICML), 2022
Zhaoning Yu
Hongyang Gao
382
56
0
01 Feb 2022
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-Colorings
Or Feldman
A. Boyarski
Shai Feldman
D. Kogan
A. Mendelson
Chaim Baskin
252
17
0
31 Jan 2022
Multiscale Graph Comparison via the Embedded Laplacian Discrepancy
Edric Tam
David B. Dunson
290
5
0
28 Jan 2022
Revisiting Global Pooling through the Lens of Optimal Transport
Minjie Cheng
Hongteng Xu
195
0
0
23 Jan 2022
FlowPool: Pooling Graph Representations with Wasserstein Gradient Flows
E. Simou
243
0
0
18 Dec 2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Hengrong Du
Andrea Soltoggio
Soheil Kolouri
270
9
0
11 Dec 2021
Learning Prototype-oriented Set Representations for Meta-Learning
D. Guo
Longlong Tian
Minghe Zhang
Mingyuan Zhou
H. Zha
OOD
170
27
0
18 Oct 2021
A Survey on Optimal Transport for Machine Learning: Theory and Applications
Luis Caicedo Torres
Luiz Manella Pereira
M. Amini
OOD
OT
228
64
0
03 Jun 2021
Graph Classification by Mixture of Diverse Experts
Fenyu Hu
Liping Wang
Shu Wu
Liang Wang
Tieniu Tan
291
20
0
29 Mar 2021
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings
Navid Naderializadeh
Soheil Kolouri
Joseph F. Comer
Reed W. Andrews
Heiko Hoffmann
275
6
0
05 Mar 2021
Walking Out of the Weisfeiler Leman Hierarchy: Graph Learning Beyond Message Passing
Jan Toenshoff
Martin Ritzert
Hinrikus Wolf
Martin Grohe
GNN
509
47
0
17 Feb 2021
Breaking the Expressive Bottlenecks of Graph Neural Networks
Mingqi Yang
Yanming Shen
Heng Qi
Baocai Yin
283
10
0
14 Dec 2020
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