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The Split Matters: Flat Minima Methods for Improving the Performance of
  GNNs

The Split Matters: Flat Minima Methods for Improving the Performance of GNNs

15 June 2023
N. Lell
A. Scherp
ArXivPDFHTML

Papers citing "The Split Matters: Flat Minima Methods for Improving the Performance of GNNs"

6 / 6 papers shown
Title
POWN: Prototypical Open-World Node Classification
POWN: Prototypical Open-World Node Classification
Marcel Hoffmann
Lukas Galke
A. Scherp
34
0
0
14 Jun 2024
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More
  Compressible Models
Train Flat, Then Compress: Sharpness-Aware Minimization Learns More Compressible Models
Clara Na
Sanket Vaibhav Mehta
Emma Strubell
64
19
0
25 May 2022
Anticorrelated Noise Injection for Improved Generalization
Anticorrelated Noise Injection for Improved Generalization
Antonio Orvieto
Hans Kersting
F. Proske
Francis R. Bach
Aurelien Lucchi
67
44
0
06 Feb 2022
Sharpness-Aware Minimization Improves Language Model Generalization
Sharpness-Aware Minimization Improves Language Model Generalization
Dara Bahri
H. Mobahi
Yi Tay
133
98
0
16 Oct 2021
High-Performance Large-Scale Image Recognition Without Normalization
High-Performance Large-Scale Image Recognition Without Normalization
Andrew Brock
Soham De
Samuel L. Smith
Karen Simonyan
VLM
223
512
0
11 Feb 2021
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
279
1,944
0
09 Jun 2018
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