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Geodesic Distance Between Graphs: A Spectral Metric for Assessing the
  Stability of Graph Neural Networks

Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks

15 June 2024
S. S. Shuvo
Ali Aghdaei
Zhuo Feng
ArXivPDFHTML

Papers citing "Geodesic Distance Between Graphs: A Spectral Metric for Assessing the Stability of Graph Neural Networks"

2 / 2 papers shown
Title
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph
  Neural Networks
Tree Mover's Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
Ching-Yao Chuang
Stefanie Jegelka
OOD
64
35
0
04 Oct 2022
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
253
3,239
0
24 Nov 2016
1