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Spatio-Spectral Graph Neural Networks

Spatio-Spectral Graph Neural Networks

29 May 2024
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
ArXivPDFHTML

Papers citing "Spatio-Spectral Graph Neural Networks"

12 / 12 papers shown
Title
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
Dominik Fuchsgruber
Tim Poštuvan
Stephan Günnemann
Simon Geisler
29
2
0
22 Oct 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
Chenhui Deng
Zichao Yue
Zhiru Zhang
81
23
0
02 Mar 2024
Graph Mamba: Towards Learning on Graphs with State Space Models
Graph Mamba: Towards Learning on Graphs with State Space Models
Ali Behrouz
Farnoosh Hashemi
AI4CE
86
57
0
13 Feb 2024
HoloNets: Spectral Convolutions do extend to Directed Graphs
HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke
Daniel Cremers
25
8
0
03 Oct 2023
Ewald-based Long-Range Message Passing for Molecular Graphs
Ewald-based Long-Range Message Passing for Molecular Graphs
Arthur Kosmala
Johannes Gasteiger
Nicholas Gao
Stephan Günnemann
64
25
0
08 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers
Specformer: Spectral Graph Neural Networks Meet Transformers
Deyu Bo
Chuan Shi
Lele Wang
Renjie Liao
69
74
0
02 Mar 2023
Automatic Relation-aware Graph Network Proliferation
Automatic Relation-aware Graph Network Proliferation
Shaofei Cai
Liang Li
Xinzhe Han
Jiebo Luo
Zhengjun Zha
Qingming Huang
GNN
37
8
0
31 May 2022
How Powerful are Spectral Graph Neural Networks
How Powerful are Spectral Graph Neural Networks
Xiyuan Wang
Muhan Zhang
70
175
0
23 May 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 2021
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
178
907
0
02 Mar 2020
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
226
1,726
0
09 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
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