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Dirichlet Energy Enhancement of Graph Neural Networks by Framelet
  Augmentation

Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation

9 November 2023
Jialin Chen
Yuelin Wang
Cristian Bodnar
Rex Ying
Pietro Lio
Yu Guang Wang
ArXiv (abs)PDFHTML

Papers citing "Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation"

5 / 5 papers shown
Title
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive
  Long-Range Graph Predictions
Dirac--Bianconi Graph Neural Networks -- Enabling Non-Diffusive Long-Range Graph Predictions
Christian Nauck
R. Gorantla
M. Lindner
Konstantin Schurholt
Antonia S. J. S. Mey
Frank Hellmann
AI4CE
81
2
0
17 Jul 2024
How Curvature Enhance the Adaptation Power of Framelet GCNs
How Curvature Enhance the Adaptation Power of Framelet GCNs
Dai Shi
Yi Guo
Zhiqi Shao
Junbin Gao
66
14
0
19 Jul 2023
Frameless Graph Knowledge Distillation
Frameless Graph Knowledge Distillation
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
78
4
0
13 Jul 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs:
  Convergence, Energy Dynamic and Training with Non-Linear Diffusion
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion
Dai Shi
Zhiqi Shao
Yi Guo
Qianchuan Zhao
Junbin Gao
100
1
0
25 May 2023
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
178
13
0
08 Oct 2022
1