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Decimated Framelet System on Graphs and Fast G-Framelet Transforms

Decimated Framelet System on Graphs and Fast G-Framelet Transforms

12 December 2020
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
ArXivPDFHTML

Papers citing "Decimated Framelet System on Graphs and Fast G-Framelet Transforms"

20 / 20 papers shown
Title
When Graph Neural Networks Meet Dynamic Mode Decomposition
When Graph Neural Networks Meet Dynamic Mode Decomposition
Dai Shi
Lequan Lin
Andi Han
Zhiyong Wang
Yi Guo
Junbin Gao
AI4CE
23
0
0
08 Oct 2024
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet
  Augmentation
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation
Jialin Chen
Yuelin Wang
Cristian Bodnar
Rex Ying
Pietro Lió
Yu Guang Wang
25
10
0
09 Nov 2023
Data-Adaptive Graph Framelets with Generalized Vanishing Moments for
  Graph Signal Processing
Data-Adaptive Graph Framelets with Generalized Vanishing Moments for Graph Signal Processing
Ruigang Zheng
Xiaosheng Zhuang
17
0
0
07 Sep 2023
Unifying over-smoothing and over-squashing in graph neural networks: A
  physics informed approach and beyond
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond
Zhiqi Shao
Dai Shi
Andi Han
Yi Guo
Qianchuan Zhao
Junbin Gao
16
11
0
06 Sep 2023
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
16
14
0
19 Jul 2023
Frameless Graph Knowledge Distillation
Frameless Graph Knowledge Distillation
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
21
4
0
13 Jul 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
31
49
0
07 Jun 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
25
1
0
25 May 2023
Framelet Message Passing
Framelet Message Passing
Xinliang Liu
Bingxin Zhou
Chutian Zhang
Yu Guang Wang
21
5
0
28 Feb 2023
Generalized Laplacian Regularized Framelet Graph Neural Networks
Generalized Laplacian Regularized Framelet Graph Neural Networks
Zhiqi Shao
Andi Han
Dai Shi
A. Vasnev
Junbin Gao
6
0
0
27 Oct 2022
A Magnetic Framelet-Based Convolutional Neural Network for Directed
  Graphs
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs
Lequan Lin
Junbin Gao
GNN
8
11
0
20 Oct 2022
Generalized energy and gradient flow via graph framelets
Generalized energy and gradient flow via graph framelets
Andi Han
Dai Shi
Zhiqi Shao
Junbin Gao
70
13
0
08 Oct 2022
A Survey on Graph Representation Learning Methods
A Survey on Graph Representation Learning Methods
Shima Khoshraftar
A. An
GNN
AI4TS
27
107
0
04 Apr 2022
Robust Graph Representation Learning for Local Corruption Recovery
Robust Graph Representation Learning for Local Corruption Recovery
Bingxin Zhou
Yuanhong Jiang
Yu Guang Wang
Jingwei Liang
Junbin Gao
Shirui Pan
Xiaoqun Zhang
OOD
28
12
0
10 Feb 2022
Spectral Transform Forms Scalable Transformer
Spectral Transform Forms Scalable Transformer
Bingxin Zhou
Xinliang Liu
Yuehua Liu
Yunyin Huang
Pietro Lió
Yuguang Wang
36
6
0
15 Nov 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,095
0
27 Apr 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial
  Networks
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks
Cristian Bodnar
Fabrizio Frasca
Yu Guang Wang
N. Otter
Guido Montúfar
Pietro Lió
M. Bronstein
25
244
0
04 Mar 2021
How Framelets Enhance Graph Neural Networks
How Framelets Enhance Graph Neural Networks
Xuebin Zheng
Bingxin Zhou
Junbin Gao
Yu Guang Wang
Pietro Lió
Ming Li
Guido Montúfar
48
69
0
13 Feb 2021
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor
  Completion
Framelet Representation of Tensor Nuclear Norm for Third-Order Tensor Completion
Tai-Xiang Jiang
Michael K. Ng
Xile Zhao
Tingzhu Huang
ViT
30
144
0
16 Sep 2019
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
231
3,202
0
24 Nov 2016
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