BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation

21 June 2021

Papers citing "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"

36 / 136 papers shown

Title
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
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification Sonny Achten F. Tonin Panagiotis Patrinos Johan A. K. Suykens 42 4 0 31 Jan 2023
Neighborhood Homophily-based Graph Convolutional Network Sheng Gong Jiajun Zhou Chenxuan Xie Qi Xuan GNN 20 7 0 24 Jan 2023
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 33 9 0 26 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 19 33 0 21 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 22 16 0 07 Dec 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 21 26 0 25 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 35 63 0 16 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 34 20 0 31 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 55 10 0 29 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 10 0 0 27 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 22 7 0 15 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 41 181 0 14 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 70 13 0 08 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 26 2 0 08 Oct 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 18 43 0 22 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 19 14 0 06 Jun 2022
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 71 205 0 31 May 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks Runlin Lei Zhen Wang Yaliang Li Bolin Ding Zhewei Wei AAML 26 42 0 27 May 2022
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 78 180 0 23 May 2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily Jie Chen Shouzhen Chen Junbin Gao Zengfeng Huang Junping Zhang Jian Pu 39 23 0 19 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation Learning Derek Lim Joshua Robinson Lingxiao Zhao Tess E. Smidt S. Sra Haggai Maron Stefanie Jegelka 49 141 0 25 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 19 101 0 04 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 27 7 0 31 Jan 2022
How Expressive are Transformers in Spectral Domain for Graphs? Anson Bastos Abhishek Nadgeri Kuldeep Singh H. Kanezashi Toyotaro Suzumura I. Mulang' 19 12 0 23 Jan 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 13 27 0 14 Dec 2021
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks Vijay Lingam C. Ekbote Manan Sharma Rahul Ragesh Arun Shankar Iyer Sundararajan Sellamanickam 28 6 0 07 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 40 2 0 04 Dec 2021
Adaptive Gaussian Processes on Graphs via Spectral Graph Wavelets Felix L. Opolka Yin-Cong Zhi Pietro Lió Xiaowen Dong 19 19 0 25 Oct 2021
MGC: A Complex-Valued Graph Convolutional Network for Directed Graphs Jie M. Zhang Bo Hui P. Harn Minmin Sun Wei-Shinn Ku 19 8 0 14 Oct 2021
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
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 64 60 0 26 Apr 2021
Gaussian Processes on Graphs via Spectral Kernel Learning Yin-Cong Zhi Yin Cheng Ng Xiaowen Dong 17 30 0 12 Jun 2020
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
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,945 0 09 Jun 2018