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GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex
  Clustering

GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
27 October 2022
Madeline Navarro
Santiago Segarra
ArXiv (abs)PDFHTML

Papers citing "GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering"

10 / 10 papers shown
From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
From Moments to Models: Graphon-Mixture Learning for Mixup and Contrastive Learning
Ali Azizpour
Reza Ramezanpour
A. Sabharwal
300
0
0
04 Oct 2025
Model-Driven Graph Contrastive Learning
Model-Driven Graph Contrastive Learning
Ali Azizpour
Nicolas Zilberstein
Santiago Segarra
257
0
0
06 Jun 2025
A Few Moments Please: Scalable Graphon Learning via Moment Matching
A Few Moments Please: Scalable Graphon Learning via Moment Matching
Reza Ramezanpour
Victor M. Tenorio
A. Marques
A. Sabharwal
Santiago Segarra
204
2
0
04 Jun 2025
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain
  Adaptation
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain AdaptationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Junyu Luo
Yiyang Gu
Xiao Luo
Wei Ju
Zhiping Xiao
Yusheng Zhao
Jingyang Yuan
Ming Zhang
280
26
0
22 Oct 2024
Scalable Implicit Graphon Learning
Scalable Implicit Graphon LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Ali Azizpour
Nicolas Zilberstein
Santiago Segarra
GNN
376
7
0
22 Oct 2024
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
NodeMixup: Tackling Under-Reaching for Graph Neural Networks
Weigang Lu
Ziyu Guan
Ziyu Guan
Yaming Yang
Long Jin
379
24
0
20 Dec 2023
Data-centric Graph Learning: A Survey
Data-centric Graph Learning: A SurveyIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023
Jixi Liu
Deyu Bo
Cheng Yang
Haoran Dai
Qi Zhang
Yixin Xiao
Yufei Peng
Chuan Shi
GNN
408
35
0
08 Oct 2023
Recovering Missing Node Features with Local Structure-based Embeddings
Recovering Missing Node Features with Local Structure-based EmbeddingsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Victor M. Tenorio
Madeline Navarro
Santiago Segarra
Antonio G. Marques
209
6
0
16 Sep 2023
SC-MAD: Mixtures of Higher-order Networks for Data Augmentation
SC-MAD: Mixtures of Higher-order Networks for Data AugmentationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Madeline Navarro
Santiago Segarra
230
1
0
14 Sep 2023
Data Augmentation via Subgroup Mixup for Improving Fairness
Data Augmentation via Subgroup Mixup for Improving FairnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Madeline Navarro
Camille Olivia Little
Genevera I. Allen
Santiago Segarra
293
11
0
13 Sep 2023
1
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