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Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

4 February 2022
Mingguo He
Zhewei Wei
Ji-Rong Wen
    GNN
ArXivPDFHTML

Papers citing "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"

16 / 16 papers shown
Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Chanwoo Kim
Jinkyu Sung
Yebonn Han
Joonseok Lee
GNN
42
0
0
01 May 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning
Amadou S. Sangare
Nicolas Dunou
Jhony H. Giraldo
Fragkiskos D. Malliaros
SSL
62
0
0
28 Feb 2025
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder
Zhou Yang
Yucai Pang
Hongbo Yin
Yunpeng Xiao
ViT
41
0
0
23 Feb 2025
Uncertainty-Aware Graph Structure Learning
Uncertainty-Aware Graph Structure Learning
Shen Han
Zhiyao Zhou
Jiawei Chen
Zhezheng Hao
Sheng Zhou
Gang Wang
Yan Feng
C. L. P. Chen
C. Wang
45
2
0
20 Feb 2025
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture
Edward Turner
GNN
31
1
0
14 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
Changwoon Choi
Jeongjun Kim
Geonho Cha
Minkwan Kim
Dongyoon Wee
Young Min Kim
3DH
47
1
0
26 Dec 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
38
5
0
05 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks:
  Heterophily, Over-smoothing, and Over-squashing
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
Keke Huang
Yu Guang Wang
Ming Li
Pietro Lió
40
17
0
21 May 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
32
5
0
06 Mar 2024
Graph Distillation with Eigenbasis Matching
Graph Distillation with Eigenbasis Matching
Yang Liu
Deyu Bo
Chuan Shi
DD
26
9
0
13 Oct 2023
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative
  Polynomials
Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials
Mingguo He
Zhewei Wei
Shi Feng
Zhengjie Huang
Weibin Li
Yu Sun
Dianhai Yu
19
6
0
31 May 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
31
24
0
11 Feb 2023
Clenshaw Graph Neural Networks
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
53
10
0
29 Oct 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
70
179
0
23 May 2022
Geom-GCN: Geometric Graph Convolutional Networks
Geom-GCN: Geometric Graph Convolutional Networks
Hongbin Pei
Bingzhen Wei
Kevin Chen-Chuan Chang
Yu Lei
Bo Yang
GNN
169
1,077
0
13 Feb 2020
Multi-scale Attributed Node Embedding
Multi-scale Attributed Node Embedding
Benedek Rozemberczki
Carl Allen
Rik Sarkar
GNN
145
835
0
28 Sep 2019
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