Learning Graphons via Structured Gromov-Wasserstein Barycenters

10 December 2020

Lawrence Carin

Papers citing "Learning Graphons via Structured Gromov-Wasserstein Barycenters"

24 / 24 papers shown

Title
A Unified Invariant Learning Framework for Graph Classification Yongduo Sui Jie Sun Shuyao Wang Zemin Liu Qing Cui Longfei Li Xiang Wang OOD 78 2 0 22 Jan 2025
Scalable Implicit Graphon Learning Ali Azizpour Nicolas Zilberstein Santiago Segarra GNN 18 0 0 22 Oct 2024
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Yuchen Sun Qingming Huang OODD 35 0 0 31 Jul 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection Chunjing Xiao Shikang Pang Wenxin Tai Yanlong Huang Goce Trajcevski Fan Zhou 36 2 0 18 Jul 2024
Graph data augmentation with Gromow-Wasserstein Barycenters Andrea Ponti 25 0 0 12 Apr 2024
Private graphon estimation via sum-of-squares Hongjie Chen Jingqiu Ding Tommaso dÓrsi Yiding Hua Chih-Hung Liu David Steurer 18 2 0 18 Mar 2024
A Deep Learning Method for Optimal Investment Under Relative Performance Criteria Among Heterogeneous Agents Mathieu Laurière Ludovic Tangpi Xuchen Zhou 16 1 0 12 Feb 2024
Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns Yifei Sun Qi Zhu Yang Yang Chunping Wang Tianyu Fan Jiajun Zhu Lei Chen 32 12 0 21 Dec 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 11 38 0 13 Oct 2023
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation Madeline Navarro Santiago Segarra 11 1 0 14 Sep 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 23 6 0 15 Jun 2023
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data Jiajin Li Jianheng Tang Lemin Kong Huikang Liu Jia Li Anthony Man-Cho So Jose H. Blanchet 18 11 0 12 Mar 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 35 5 0 10 Mar 2023
Outlier-Robust Gromov-Wasserstein for Graph Data Lemin Kong Jiajin Li Jianheng Tang Anthony Man-Cho So 13 3 0 09 Feb 2023
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang Weiqi Zhang Jiajin Li Kangfei Zhao Fugee Tsung Jia Li OT 6 18 0 30 Jan 2023
Graphon Pooling for Reducing Dimensionality of Signals and Convolutional Operators on Graphs Alejandro Parada-Mayorga Zhiyang Wang Alejandro Ribeiro 23 9 0 15 Dec 2022
Implicit Graphon Neural Representation Xinyue Xia Gal Mishne Yusu Wang GNN AI4CE 14 4 0 07 Nov 2022
Joint Network Topology Inference via a Shared Graphon Model Madeline Navarro Santiago Segarra 23 10 0 17 Sep 2022
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Data Jiajin Li Jianheng Tang Lemin Kong Huikang Liu Jia Li Anthony Man-Cho So Jose H. Blanchet 18 1 0 17 May 2022
G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han Zhimeng Jiang Ninghao Liu Xia Hu 6 192 0 15 Feb 2022
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 28 23 0 06 Oct 2021
Learning Graphon Autoencoders for Generative Graph Modeling Hongteng Xu P. Zhao Junzhou Huang Dixin Luo GNN 26 5 0 29 May 2021
Hawkes Processes on Graphons Hongteng Xu Dixin Luo H. Zha 19 1 0 04 Feb 2021
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 975 0 29 Dec 2009