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On the Initialization of Graph Neural Networks

On the Initialization of Graph Neural Networks

5 December 2023
Jiahang Li
Ya-Zhi Song
Xiang Song
David Wipf
    GNN
ArXivPDFHTML

Papers citing "On the Initialization of Graph Neural Networks"

5 / 5 papers shown
Title
Reducing Oversmoothing through Informed Weight Initialization in Graph
  Neural Networks
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks
Dimitrios Kelesis
Dimitris Fotakis
George Giannakopoulos
39
0
0
31 Oct 2024
Foundations and Frontiers of Graph Learning Theory
Foundations and Frontiers of Graph Learning Theory
Yu Huang
Min Zhou
Menglin Yang
Zhen Wang
Muhan Zhang
Jie Wang
Hong Xie
Hao Wang
Defu Lian
Enhong Chen
AI4CE
GNN
55
2
0
03 Jul 2024
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP
  Initialization
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han
Tong Zhao
Yozen Liu
Xia Hu
Neil Shah
GNN
58
36
0
30 Sep 2022
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
260
1,812
0
25 Nov 2016
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
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