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Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural
  Networks

Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks

31 August 2023
Andreas Roth
Thomas Liebig
ArXivPDFHTML

Papers citing "Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks"

13 / 13 papers shown
Title
Generalized Probabilistic Attention Mechanism in Transformers
Generalized Probabilistic Attention Mechanism in Transformers
DongNyeong Heo
Heeyoul Choi
44
0
0
21 Oct 2024
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum
  Properties for Improved ADMET Modeling
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modeling
Alessio Fallani
Ramil I. Nugmanov
Jose A. Arjona-Medina
Jörg Kurt Wegner
Alexandre Tkatchenko
Kostiantyn Chernichenko
MedIm
AI4CE
19
0
0
10 Oct 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the
  Computational Graph
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph
Andreas Roth
Franka Bause
Nils M. Kriege
Thomas Liebig
15
2
0
17 Sep 2024
Simplifying the Theory on Over-Smoothing
Simplifying the Theory on Over-Smoothing
Andreas Roth
28
1
0
16 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs
Differential Encoding for Improved Representation Learning over Graphs
Haimin Zhang
Jiahao Xia
Min Xu
33
0
0
03 Jul 2024
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Adarsh Jamadandi
Celia Rubio-Madrigal
R. Burkholz
28
1
0
06 Apr 2024
Distilling Influences to Mitigate Prediction Churn in Graph Neural
  Networks
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks
Andreas Roth
Thomas Liebig
47
0
0
02 Oct 2023
Gradient Gating for Deep Multi-Rate Learning on Graphs
Gradient Gating for Deep Multi-Rate Learning on Graphs
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
68
53
0
02 Oct 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network
Transforming PageRank into an Infinite-Depth Graph Neural Network
Andreas Roth
Thomas Liebig
GNN
28
13
0
01 Jul 2022
Orthogonal Graph Neural Networks
Orthogonal Graph Neural Networks
Kai Guo
Kaixiong Zhou
Xia Hu
Yu Li
Yi Chang
Xin Wang
41
34
0
23 Sep 2021
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
84
445
0
04 Jan 2021
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
167
1,058
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
139
828
0
28 Sep 2019
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