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Kolmogorov-Arnold Graph Neural Networks
v1v2 (latest)

Kolmogorov-Arnold Graph Neural Networks

26 June 2024
Gianluca De Carlo
Andrea Mastropietro
Aris Anagnostopoulos
ArXiv (abs)PDFHTML

Papers citing "Kolmogorov-Arnold Graph Neural Networks"

32 / 32 papers shown
Title
KAC: Kolmogorov-Arnold Classifier for Continual Learning
KAC: Kolmogorov-Arnold Classifier for Continual Learning
Yusong Hu
Zichen Liang
Fei Yang
Qibin Hou
Xialei Liu
Ming-Ming Cheng
CLL
107
1
0
27 Mar 2025
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
On Vanishing Gradients, Over-Smoothing, and Over-Squashing in GNNs: Bridging Recurrent and Graph Learning
Alvaro Arroyo
Alessio Gravina
Benjamin Gutteridge
Federico Barbero
Claudio Gallicchio
Xiaowen Dong
Michael M. Bronstein
P. Vandergheynst
119
13
0
15 Feb 2025
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
On the study of frequency control and spectral bias in Wavelet-Based Kolmogorov Arnold networks: A path to physics-informed KANs
Juan Daniel Meshir
Abel Palafox
Edgar Alejandro Guerrero
114
4
0
01 Feb 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
Taoran Fang
Tianhong Gao
Chunping Wang
Yihao Shang
Wei Chow
Lei Chen
Yang Yang
163
2
0
23 Jan 2025
A Survey on Kolmogorov-Arnold Network
A Survey on Kolmogorov-Arnold Network
Shriyank Somvanshi
Syed Aaqib Javed
Md Monzurul Islam
Diwas Pandit
Subasish Das
AI4TSAI4CE
103
25
0
09 Nov 2024
On the expressiveness and spectral bias of KANs
On the expressiveness and spectral bias of KANs
Yixuan Wang
Jonathan W. Siegel
Ziming Liu
Thomas Y. Hou
96
13
0
02 Oct 2024
Kolmogorov-Arnold Transformer
Kolmogorov-Arnold Transformer
Xingyi Yang
Xinchao Wang
77
24
0
16 Sep 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning
Roman Bresson
Giannis Nikolentzos
G. Panagopoulos
Michail Chatzianastasis
Jun Pang
Michalis Vazirgiannis
122
51
0
26 Jun 2024
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold
  Networks
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
Fan Zhang
Xin Zhang
92
30
0
19 Jun 2024
GKAN: Graph Kolmogorov-Arnold Networks
GKAN: Graph Kolmogorov-Arnold Networks
Mehrdad Kiamari
Mohammad Kiamari
Bhaskar Krishnamachari
81
44
0
10 Jun 2024
TKAN: Temporal Kolmogorov-Arnold Networks
TKAN: Temporal Kolmogorov-Arnold Networks
Remi Genet
Hugo Inzirillo
AI4TSAI4CE
70
77
0
12 May 2024
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Kolmogorov-Arnold Networks are Radial Basis Function Networks
Ziyao Li
103
79
0
10 May 2024
KAN: Kolmogorov-Arnold Networks
KAN: Kolmogorov-Arnold Networks
Ziming Liu
Yixuan Wang
Sachin Vaidya
Fabian Ruehle
James Halverson
Marin Soljacic
Thomas Y. Hou
Max Tegmark
242
563
0
30 Apr 2024
A Survey on Oversmoothing in Graph Neural Networks
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
87
212
0
20 Mar 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural Networks
Petar Velickovic
GNNAI4CE
71
188
0
19 Jan 2023
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks
Kaixiong Zhou
Xiao Shi Huang
Daochen Zha
Rui Chen
Li Li
Soo-Hyun Choi
Xia Hu
GNNAI4CE
72
118
0
06 Jul 2021
How Attentive are Graph Attention Networks?
How Attentive are Graph Attention Networks?
Shaked Brody
Uri Alon
Eran Yahav
GNN
119
1,084
0
30 May 2021
GraphSVX: Shapley Value Explanations for Graph Neural Networks
GraphSVX: Shapley Value Explanations for Graph Neural Networks
Alexandre Duval
Fragkiskos D. Malliaros
FAtt
65
90
0
18 Apr 2021
A Survey on the Explainability of Supervised Machine Learning
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart
Marco F. Huber
FaMLXAI
53
774
0
16 Nov 2020
Simple and Deep Graph Convolutional Networks
Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
124
1,494
0
04 Jul 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
523
42,559
0
03 Dec 2019
DeepGCNs: Can GCNs Go as Deep as CNNs?
DeepGCNs: Can GCNs Go as Deep as CNNs?
Ge Li
Matthias Muller
Ali K. Thabet
Guohao Li
3DPCGNN
130
1,350
0
07 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
232
4,361
0
06 Mar 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
780
8,554
0
03 Jan 2019
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,681
0
01 Oct 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,225
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
509
15,300
0
07 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
596
7,485
0
04 Apr 2017
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,412
0
01 Dec 2016
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,591
0
21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
647
29,154
0
09 Sep 2016
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