Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph
Representation Learning

Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning

1 October 2022

Chao Huang

Papers citing "Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning"

6 / 6 papers shown

Title
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Bin Cui Muhan Zhang J. Leskovec 37 13 0 04 Aug 2023
Class-Imbalanced Learning on Graphs: A Survey Yihong Ma Yijun Tian Nuno Moniz Nitesh V. Chawla 30 19 0 09 Apr 2023
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 47 14 0 22 Aug 2022
Sparsity Winning Twice: Better Robust Generalization from More Efficient Training Tianlong Chen Zhenyu Zhang Pengju Wang Santosh Balachandra Haoyu Ma Zehao Wang Zhangyang Wang OOD AAML 100 47 0 20 Feb 2022
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 94 190 0 27 Feb 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 163 25,296 0 09 Jun 2011