Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering

17 January 2024

Kaizhu Huang

Papers citing "Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering"

32 / 32 papers shown

Title
A critical look at the evaluation of GNNs under heterophily: Are we really making progress? Oleg Platonov Denis Kuznedelev Michael Diskin Artem Babenko Liudmila Prokhorenkova 64 216 0 22 Feb 2023
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond Oleg Platonov Denis Kuznedelev Artem Babenko Liudmila Prokhorenkova 75 45 0 13 Sep 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 83 200 0 06 Jul 2022
Recipe for a General, Powerful, Scalable Graph Transformer Ladislav Rampášek Mikhail Galkin Vijay Prakash Dwivedi Anh Tuan Luu Guy Wolf Dominique Beaini 118 564 0 25 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 77 27 0 19 Mar 2022
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 81 113 0 01 Mar 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 51 8 0 31 Jan 2022
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 108 226 0 21 Jun 2021
Rethinking Graph Transformers with Spectral Attention Devin Kreuzer Dominique Beaini William L. Hamilton Vincent Létourneau Prudencio Tossou 91 536 0 07 Jun 2021
AdaGNN: Graph Neural Networks with Adaptive Frequency Response Filter Yushun Dong Kaize Ding B. Jalaeian Shuiwang Ji Jundong Li 85 62 0 26 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 80 101 0 03 Apr 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 173 588 0 04 Jan 2021
Graph Geometry Interaction Learning Shichao Zhu Shirui Pan Chuan Zhou Hongzhi Zhang Yanan Cao Bin Wang 108 93 0 23 Oct 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 119 1,485 0 04 Jul 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 267 738 0 14 Jun 2020
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data Xiang Li B. Kao Caihua Shan Dawei Yin Martin Ester 35 9 0 08 Jun 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 110 165 0 29 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 85 290 0 07 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 412 940 0 02 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 298 1,989 0 02 Feb 2020
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 266 860 0 28 Sep 2019
Optuna: A Next-generation Hyperparameter Optimization Framework Takuya Akiba Shotaro Sano Toshihiko Yanase Takeru Ohta Masanori Koyama 661 5,798 0 25 Jul 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 223 4,339 0 06 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 759 8,526 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.1K 5,515 0 20 Dec 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 220 1,686 0 14 Oct 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 503 15,232 0 07 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 185 659 0 22 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,443 0 04 Apr 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 617 29,051 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 342 7,650 0 30 Jun 2016
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 126 3,972 0 31 Oct 2012