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Understanding Community Bias Amplification in Graph Representation
  Learning

Understanding Community Bias Amplification in Graph Representation Learning

8 December 2023
Shengzhong Zhang
Wenjie Yang
Yimin Zhang
Hongwei Zhang
Divin Yan
Zengfeng Huang
    FaML
ArXiv (abs)PDFHTML

Papers citing "Understanding Community Bias Amplification in Graph Representation Learning"

15 / 15 papers shown
Title
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
TAM: Topology-Aware Margin Loss for Class-Imbalanced Node Classification
Jae-gyun Song
Joonhyung Park
Eunho Yang
67
54
0
26 Jun 2022
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional
  Network
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network
Jian Kang
Yangchun Zhu
Yinglong Xia
Jiebo Luo
Hanghang Tong
FaML
50
46
0
28 Feb 2022
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
Yushun Dong
Ninghao Liu
B. Jalaeian
Jundong Li
98
123
0
11 Aug 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
64
220
0
23 Jun 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
105
568
0
27 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Self-Supervised Learning of Graph Neural Networks: A Unified Review
Yaochen Xie
Zhao Xu
Jingtun Zhang
Zhengyang Wang
Shuiwang Ji
SSL
100
334
0
22 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear
  Separability and Out-of-Distribution Generalization
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
OODD
105
76
0
13 Feb 2021
Graph Contrastive Learning with Adaptive Augmentation
Graph Contrastive Learning with Adaptive Augmentation
Yanqiao Zhu
Yichen Xu
Feng Yu
Qiang Liu
Shu Wu
Liang Wang
82
1,110
0
27 Oct 2020
Faster Graph Embeddings via Coarsening
Faster Graph Embeddings via Coarsening
Matthew Fahrbach
Gramoz Goranci
Richard Peng
Sushant Sachdeva
Chi Wang
49
28
0
06 Jul 2020
Contrastive Multi-View Representation Learning on Graphs
Contrastive Multi-View Representation Learning on Graphs
Kaveh Hassani
Amir Hosein Khas Ahmadi
SSL
230
1,302
0
10 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Open Graph Benchmark: Datasets for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Marinka Zitnik
Yuxiao Dong
Hongyu Ren
Bowen Liu
Michele Catasta
J. Leskovec
306
2,732
0
02 May 2020
Generalization and Representational Limits of Graph Neural Networks
Generalization and Representational Limits of Graph Neural Networks
Vikas Garg
Stefanie Jegelka
Tommi Jaakkola
GNN
101
313
0
14 Feb 2020
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
110
1,339
0
25 Jul 2019
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
641
29,076
0
09 Sep 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
257
9,789
0
26 Mar 2014
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