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NodeMixup: Tackling Under-Reaching for Graph Neural Networks

NodeMixup: Tackling Under-Reaching for Graph Neural Networks

20 December 2023
Weigang Lu
Ziyu Guan
Wei Zhao
Yaming Yang
Long Jin
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Papers citing "NodeMixup: Tackling Under-Reaching for Graph Neural Networks"

4 / 4 papers shown
Title
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex
  Clustering
GraphMAD: Graph Mixup for Data Augmentation using Data-Driven Convex Clustering
Madeline Navarro
Santiago Segarra
23
5
0
27 Oct 2022
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure
  Preservation
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
Joonhyung Park
Hajin Shim
Eunho Yang
69
40
0
10 Nov 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label
  Selection Framework for Semi-Supervised Learning
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve
Kevin Duarte
Y. S. Rawat
M. Shah
186
446
0
15 Jan 2021
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
209
1,726
0
09 Jun 2018
1