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Graph Neural Networks with convolutional ARMA filters

Graph Neural Networks with convolutional ARMA filters

5 January 2019
F. Bianchi
Daniele Grattarola
L. Livi
C. Alippi
    GNN
ArXivPDFHTML

Papers citing "Graph Neural Networks with convolutional ARMA filters"

37 / 37 papers shown
Title
Graph Perceiver IO: A General Architecture for Graph Structured Data
Graph Perceiver IO: A General Architecture for Graph Structured Data
Seyun Bae
Hoyoon Byun
Changdae Oh
Yoon-Sik Cho
Kyungwoo Song
GNN
90
2
0
24 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
47
0
0
17 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos
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
47
1
0
26 Dec 2024
Towards Lightweight Graph Neural Network Search with Curriculum Graph
  Sparsification
Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification
Beini Xie
Heng Chang
Ziwei Zhang
Zeyang Zhang
Simin Wu
Xin Wang
Yuan Meng
Wenwu Zhu
29
2
0
24 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts
  Approach
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach
Haoyu Han
Juanhui Li
Wei Huang
Xianfeng Tang
Hanqing Lu
Chen Luo
Hui Liu
Jiliang Tang
33
5
0
05 Jun 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
27
5
0
06 Mar 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu
Yanhua Yu
Hao Fei
Xuan Li
Zixuan Yang
Zirui Guo
Meiyu Liang
Mengran Yin
Tat-Seng Chua
19
2
0
28 Jan 2024
Examining the Effects of Degree Distribution and Homophily in Graph
  Learning Models
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
Mustafa Yasir
John Palowitch
Anton Tsitsulin
Long Tran-Thanh
Bryan Perozzi
11
6
0
17 Jul 2023
A Survey on Spectral Graph Neural Networks
A Survey on Spectral Graph Neural Networks
Deyu Bo
Xiao Wang
Yang Liu
Yuan Fang
Yawen Li
Chuan Shi
24
24
0
11 Feb 2023
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
TIDE: Time Derivative Diffusion for Deep Learning on Graphs
M. Behmanesh
Maximilian Krahn
M. Ovsjanikov
DiffM
GNN
19
9
0
05 Dec 2022
Unlearning Graph Classifiers with Limited Data Resources
Unlearning Graph Classifiers with Limited Data Resources
Chao Pan
Eli Chien
O. Milenkovic
MU
18
32
0
06 Nov 2022
Clenshaw Graph Neural Networks
Clenshaw Graph Neural Networks
Y. Guo
Zhewei Wei
GNN
53
10
0
29 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric
  Polynomials
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials
Xun Liu
Alex Hay-Man Ng
Fangyu Lei
Yikuan Zhang
Zhengmin Li
GNN
22
1
0
30 Sep 2022
Tuning the Geometry of Graph Neural Networks
Tuning the Geometry of Graph Neural Networks
Sowon Jeong
Claire Donnat
AI4CE
24
1
0
12 Jul 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural
  Networks
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
Runlin Lei
Zhen Wang
Yaliang Li
Bolin Ding
Zhewei Wei
AAML
14
38
0
27 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
32
55
0
19 May 2022
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
3D Human Pose Estimation Using Möbius Graph Convolutional Networks
Niloofar Azizi
Horst Possegger
Emanuele Rodolà
Horst Bischof
3DH
20
10
0
20 Mar 2022
Sign and Basis Invariant Networks for Spectral Graph Representation
  Learning
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
20
138
0
25 Feb 2022
When Does A Spectral Graph Neural Network Fail in Node Classification?
When Does A Spectral Graph Neural Network Fail in Node Classification?
Zhi-Xing Chen
Tengfei Ma
Yangkun Wang
14
13
0
16 Feb 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking,
  Modeling, and Advancing
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
Nan Wu
Hang Yang
Yuan Xie
Pan Li
Cong Hao
15
51
0
18 Jan 2022
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
A Piece-wise Polynomial Filtering Approach for Graph Neural Networks
Vijay Lingam
C. Ekbote
Manan Sharma
Rahul Ragesh
Arun Shankar Iyer
Sundararajan Sellamanickam
21
5
0
07 Dec 2021
Learning Connectivity with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
13
27
0
06 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space
  Exploration
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration
Lorenzo Ferretti
Andrea Cini
Georgios Zacharopoulos
C. Alippi
L. Pozzi
18
4
0
29 Nov 2021
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet
  Convolutional Network
Geometric Multimodal Deep Learning with Multi-Scaled Graph Wavelet Convolutional Network
M. Behmanesh
Peyman Adibi
M. Ehsani
Jocelyn Chanussot
19
12
0
26 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020
Jin Xu
Mingjian Chen
Jianqiang Huang
Xingyuan Tang
Ke Hu
Jian Li
Jia Cheng
Jun Lei
15
2
0
25 Nov 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using
  Vector Quantization
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization
Mucong Ding
Kezhi Kong
Jingling Li
Chen Zhu
John P. Dickerson
Furong Huang
Tom Goldstein
GNN
MQ
25
47
0
27 Oct 2021
Search For Deep Graph Neural Networks
Search For Deep Graph Neural Networks
Guosheng Feng
Chunnan Wang
Hongzhi Wang
GNN
16
23
0
21 Sep 2021
Predicting Basin Stability of Power Grids using Graph Neural Networks
Predicting Basin Stability of Power Grids using Graph Neural Networks
Christian Nauck
M. Lindner
Konstantin Schurholt
Haoming Zhang
P. Schultz
Jürgen Kurths
I. Isenhardt
Frank Hellmann
21
22
0
18 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
Mingxing Xu
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
P. Frossard
25
11
0
03 Aug 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein
  Approximation
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation
Mingguo He
Zhewei Wei
Zengfeng Huang
Hongteng Xu
30
210
0
21 Jun 2021
Joint Detection and Localization of Stealth False Data Injection Attacks
  in Smart Grids using Graph Neural Networks
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
Osman Boyaci
M. Narimani
K. Davis
Muhammad Ismail
T. Overbye
E. Serpedin
35
89
0
24 Apr 2021
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
Incorporating Symbolic Domain Knowledge into Graph Neural Networks
T. Dash
A. Srinivasan
L. Vig
NAI
22
25
0
23 Oct 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for
  Large Eigengaps of Dense Graphs and Hypergraphs
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs
Dominik Alfke
Martin Stoll
GNN
8
5
0
03 Aug 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph
  Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu Aggarwal
Chang-Tien Lu
24
45
0
27 Feb 2020
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural Networks
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
22
125
0
30 Jul 2019
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,724
0
26 Sep 2016
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