How Powerful are Spectral Graph Neural Networks

23 May 2022

Papers citing "How Powerful are Spectral Graph Neural Networks"

46 / 46 papers shown

Title
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 111 1 0 03 Mar 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 210 0 0 04 Feb 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 122 2 0 26 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 131 1 0 21 Dec 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 133 0 0 26 Nov 2024
Sparse Decomposition of Graph Neural Networks Yaochen Hu Mai Zeng Ge Zhang Pavel Rumiantsev Liheng Ma Yingxue Zhang Mark Coates 185 0 0 25 Oct 2024
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction Junjie Xu Artem Moskalev Tommaso Mansi Mangal Prakash Rui Liao AI4CE 73 3 0 15 Oct 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Rieck 74 1 0 03 Oct 2024
Bundle Neural Networks for message diffusion on graphs Jacob Bamberger Federico Barbero Xiaowen Dong Michael M. Bronstein 95 2 0 24 May 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 117 2 0 19 Mar 2024
Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks Hongya Wang Haoteng Yin Muhan Zhang Pan Li 83 113 0 01 Mar 2022
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 202 15 0 12 Nov 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 80 167 0 25 Oct 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 114 226 0 21 Jun 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 45 78 0 10 May 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 101 203 0 28 Jan 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 64 194 0 30 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 50 145 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 56 46 0 28 Oct 2020
The Surprising Power of Graph Neural Networks with Random Node Initialization Ralph Abboud .Ismail .Ilkan Ceylan Martin Grohe Thomas Lukasiewicz 87 221 0 02 Oct 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 738 0 14 Jun 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 101 313 0 14 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 318 1,119 0 13 Feb 2020
Can Graph Neural Networks Count Substructures? Zhengdao Chen Lei Chen Soledad Villar Joan Bruna GNN 112 325 0 10 Feb 2020
Random Features Strengthen Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN AAML 76 238 0 08 Feb 2020
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 136 706 0 28 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 266 861 0 28 Sep 2019
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 84 299 0 06 Jul 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 93 496 0 11 Jun 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 86 282 0 29 May 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 120 579 0 27 May 2019
Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato M. Yamada H. Kashima GNN 93 128 0 24 May 2019
Universal Invariant and Equivariant Graph Neural Networks Nicolas Keriven Gabriel Peyré 189 292 0 13 May 2019
On the Universality of Invariant Networks Haggai Maron Ethan Fetaya Nimrod Segol Y. Lipman OOD 155 238 0 27 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 76 394 0 05 Jan 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 775 8,533 0 03 Jan 2019
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,360 0 14 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 222 1,688 0 14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 192 1,636 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 240 7,653 0 01 Oct 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 92 1,825 0 15 Sep 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 90 1,933 0 27 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,513 0 30 Jan 2018
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 350 7,655 0 30 Jun 2016
Revisiting Semi-Supervised Learning with Graph Embeddings Zhilin Yang William W. Cohen Ruslan Salakhutdinov GNN SSL 166 2,095 0 29 Mar 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 130 3,974 0 31 Oct 2012