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2012.06922
Cited By
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
12 December 2020
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
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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
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
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
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
Zhiqi Shao
Dai Shi
Andi Han
Yi Guo
Qianchuan Zhao
Junbin Gao
13
11
0
06 Sep 2023
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
Dai Shi
Zhiqi Shao
Yi Guo
Junbin Gao
21
4
0
13 Jul 2023
Permutation Equivariant Graph Framelets for Heterophilous Graph Learning
Jianfei Li
Ruigang Zheng
Han Feng
Ming Li
Xiaosheng Zhuang
28
49
0
07 Jun 2023
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
22
1
0
25 May 2023
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
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
Lequan Lin
Junbin Gao
GNN
8
11
0
20 Oct 2022
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
Shima Khoshraftar
A. An
GNN
AI4TS
27
107
0
04 Apr 2022
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
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
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
166
1,095
0
27 Apr 2021
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
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
Tai-Xiang Jiang
Michael K. Ng
Xile Zhao
Tingzhu Huang
ViT
30
144
0
16 Sep 2019
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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