A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

4 July 2023

Joan Bruna

Papers citing "A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks"

22 / 22 papers shown

Title
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 194 0 0 13 Aug 2024
A Spectral Analysis of Graph Neural Networks on Dense and Sparse Graphs Luana Ruiz Ningyuan Huang Soledad Villar 46 5 0 06 Nov 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry Christos Thrampoulidis Ganesh Ramachandra Kini V. Vakilian Tina Behnia 51 73 0 10 Aug 2022
An Unconstrained Layer-Peeled Perspective on Neural Collapse Wenlong Ji Yiping Lu Yiliang Zhang Zhun Deng Weijie J. Su 161 86 0 06 Oct 2021
Is Homophily a Necessity for Graph Neural Networks? Yao Ma Xiaorui Liu Neil Shah Jiliang Tang 54 234 0 11 Jun 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 92 253 0 12 Feb 2021
Neural collapse with unconstrained features D. Mixon Hans Parshall Jianzong Pi 66 120 0 23 Nov 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 194 574 0 18 Aug 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 76 271 0 23 Jun 2020
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks Like Hui M. Belkin UQCV AAML VLM 48 171 0 12 Jun 2020
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 754 8,526 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 192 1,634 0 04 Oct 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 182 2,826 0 22 Jan 2018
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning Siyuan Ma Raef Bassily M. Belkin 76 288 0 18 Dec 2017
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank Emmanuel Abbe Jianqing Fan Kaizheng Wang Yiqiao Zhong 108 250 0 27 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 498 15,232 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 588 7,443 0 04 Apr 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 793 3,281 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 614 29,032 0 09 Sep 2016
Spectral Clustering of Graphs with the Bethe Hessian Alaa Saade Florent Krzakala Lenka Zdeborová 101 149 0 07 Jun 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 217 4,874 0 21 Dec 2013