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How Graph Neural Networks Learn: Lessons from Training Dynamics

How Graph Neural Networks Learn: Lessons from Training Dynamics

8 October 2023
Chenxiao Yang
Qitian Wu
David Wipf
Ruoyu Sun
Junchi Yan
    AI4CE
    GNN
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Papers citing "How Graph Neural Networks Learn: Lessons from Training Dynamics"

5 / 5 papers shown
Title
Label Propagation with Weak Supervision
Label Propagation with Weak Supervision
Rattana Pukdee
Dylan Sam
Maria-Florina Balcan
Pradeep Ravikumar
32
9
0
07 Oct 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
72
179
0
23 May 2022
Beyond Low-frequency Information in Graph Convolutional Networks
Beyond Low-frequency Information in Graph Convolutional Networks
Deyu Bo
Xiao Wang
C. Shi
Huawei Shen
GNN
91
558
0
04 Jan 2021
From Local Structures to Size Generalization in Graph Neural Networks
From Local Structures to Size Generalization in Graph Neural Networks
Gilad Yehudai
Ethan Fetaya
E. Meirom
Gal Chechik
Haggai Maron
GNN
AI4CE
159
123
0
17 Oct 2020
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
267
1,944
0
09 Jun 2018
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