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A Neural Collapse Perspective on Feature Evolution in Graph Neural
  Networks

A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

4 July 2023
Vignesh Kothapalli
Tom Tirer
Joan Bruna
ArXivPDFHTML

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
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
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
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
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
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
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?
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
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
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
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
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
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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