Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

4 February 2022

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

20 / 20 papers shown

Title
Graph Spectral Filtering with Chebyshev Interpolation for Recommendation Chanwoo Kim Jinkyu Sung Yebonn Han Joonseok Lee GNN 44 0 0 01 May 2025
A Fused Gromov-Wasserstein Approach to Subgraph Contrastive Learning Amadou S. Sangare Nicolas Dunou Jhony H. Giraldo Fragkiskos D. Malliaros SSL 64 0 0 28 Feb 2025
A Split-Window Transformer for Multi-Model Sequence Spammer Detection using Multi-Model Variational Autoencoder Zhou Yang Yucai Pang Hongbo Yin Yunpeng Xiao ViT 43 0 0 23 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng Cheng Chen C. Wang 49 2 0 20 Feb 2025
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Edward Turner GNN 36 1 0 14 Jan 2025
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 0 0 26 Dec 2024
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 42 5 0 05 Jun 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 46 21 0 21 May 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 54 3 0 12 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 37 5 0 06 Mar 2024
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 Mingguo He Zhewei Wei Shi Feng Zhengjie Huang Weibin Li Yu Sun Dianhai Yu 26 6 0 31 May 2023
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis Qian Tao Zhen Wang Wenyuan Yu Yaliang Li Zhewei Wei 30 5 0 24 Mar 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases Y. Guo Zhewei Wei 32 29 0 24 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 35 25 0 11 Feb 2023
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 61 10 0 29 Oct 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 78 180 0 23 May 2022
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 38 18 0 21 Jul 2021
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,078 0 13 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 148 837 0 28 Sep 2019