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New Insights into Graph Convolutional Networks using Neural Tangent
  Kernels

New Insights into Graph Convolutional Networks using Neural Tangent Kernels

8 October 2021
Mahalakshmi Sabanayagam
P. Esser
D. Ghoshdastidar
ArXivPDFHTML

Papers citing "New Insights into Graph Convolutional Networks using Neural Tangent Kernels"

4 / 4 papers shown
Title
Neural Tangent Kernels Motivate Graph Neural Networks with
  Cross-Covariance Graphs
Neural Tangent Kernels Motivate Graph Neural Networks with Cross-Covariance Graphs
Shervin Khalafi
Saurabh Sihag
Alejandro Ribeiro
11
0
0
16 Oct 2023
Principles for Initialization and Architecture Selection in Graph Neural
  Networks with ReLU Activations
Principles for Initialization and Architecture Selection in Graph Neural Networks with ReLU Activations
G. Dezoort
Boris Hanin
AI4CE
20
3
0
20 Jun 2023
Graph Neural Tangent Kernel: Convergence on Large Graphs
Graph Neural Tangent Kernel: Convergence on Large Graphs
Sanjukta Krishnagopal
Luana Ruiz
22
8
0
25 Jan 2023
Graph Convolutional Networks from the Perspective of Sheaves and the
  Neural Tangent Kernel
Graph Convolutional Networks from the Perspective of Sheaves and the Neural Tangent Kernel
Thomas Gebhart
GNN
20
1
0
19 Aug 2022
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