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2307.01951
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A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks
4 July 2023
Vignesh Kothapalli
Tom Tirer
Joan Bruna
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Papers citing
"A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"
12 / 12 papers shown
Title
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
Jiani Ni
He Zhao
Jintong Gao
Dandan Guo
H. Zha
24
0
0
14 Apr 2025
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot
Peter Súkeník
Zihan Wang
Marco Mondelli
26
1
0
07 Oct 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
Jonas Linkerhagner
Cheng Shi
Ivan Dokmanić
31
0
0
13 Aug 2024
A spring-block theory of feature learning in deep neural networks
Chengzhi Shi
Liming Pan
Ivan Dokmanić
AI4CE
28
1
0
28 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
Yilun Zheng
Sitao Luan
Lihui Chen
35
5
0
27 Jun 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models
Robert Wu
V. Papyan
33
11
0
28 May 2024
Neural Collapse versus Low-rank Bias: Is Deep Neural Collapse Really Optimal?
Peter Súkeník
Marco Mondelli
Christoph H. Lampert
AI4CE
30
5
0
23 May 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis
Haodong Wen
Bodong Du
Ruixun Liu
Deyu Meng
Xiangyong Cao
26
0
0
16 Apr 2024
Perturbation Analysis of Neural Collapse
Tom Tirer
Haoxiang Huang
Jonathan Niles-Weed
AAML
27
23
0
29 Oct 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse
Wenlong Ji
Yiping Lu
Yiliang Zhang
Zhun Deng
Weijie J. Su
122
83
0
06 Oct 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
114
162
0
29 Jan 2021
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
231
3,202
0
24 Nov 2016
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