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Networked Inequality: Preferential Attachment Bias in Graph Neural
  Network Link Prediction

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction

29 September 2023
Zhengyuan Yang
Levent Sagun
Yizhou Sun
ArXivPDFHTML

Papers citing "Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction"

6 / 6 papers shown
Title
Theoretical and Empirical Insights into the Origins of Degree Bias in
  Graph Neural Networks
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks
Arjun Subramonian
Jian Kang
Yizhou Sun
AI4CE
32
4
0
04 Apr 2024
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of
  the WL Test
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test
Arjun Subramonian
Adina Williams
Maximilian Nickel
Yizhou Sun
Levent Sagun
16
0
0
11 Jul 2023
Graph Neural Networks for Link Prediction with Subgraph Sketching
Graph Neural Networks for Link Prediction with Subgraph Sketching
B. Chamberlain
S. Shirobokov
Emanuele Rossi
Fabrizio Frasca
Thomas Markovich
Nils Y. Hammerla
Michael M. Bronstein
Max Hansmire
44
76
0
30 Sep 2022
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
Characterizing Intersectional Group Fairness with Worst-Case Comparisons
A. Ghosh
Lea Genuit
Mary Reagan
FaML
79
51
0
05 Jan 2021
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
833
0
28 Sep 2019
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
229
1,935
0
09 Jun 2018
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