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From Local to Global: Spectral-Inspired Graph Neural Networks
v1v2v3 (latest)

From Local to Global: Spectral-Inspired Graph Neural Networks

24 September 2022
Ningyuan Huang
Soledad Villar
Carey E. Priebe
Da Zheng
Cheng-Fu Huang
Lin F. Yang
Vladimir Braverman
ArXiv (abs)PDFHTML

Papers citing "From Local to Global: Spectral-Inspired Graph Neural Networks"

13 / 13 papers shown
Title
LASE: Learned Adjacency Spectral Embeddings
LASE: Learned Adjacency Spectral Embeddings
Sofía Pérez Casulo
Marcelo Fiori
Federico Larroca
Gonzalo Mateos
AI4TSGNN
109
0
0
23 Dec 2024
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph
  Backdoor Attacks with Subgraph Triggers Pool
Attack by Yourself: Effective and Unnoticeable Multi-Category Graph Backdoor Attacks with Subgraph Triggers Pool
Jiangtong Li
Dungy Liu
Dawei Cheng
Changchun Jiang
AAML
83
0
0
23 Dec 2024
Graph neural networks and non-commuting operators
Graph neural networks and non-commuting operators
Mauricio Velasco
Kaiying O'Hare
Bernardo Rychtenberg
Soledad Villar
GNN
414
2
0
06 Nov 2024
Global-Local Graph Neural Networks for Node-Classification
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
151
3
0
16 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
Michael Scholkemper
Xinyi Wu
Ali Jadbabaie
Michael T. Schaub
223
9
0
05 Jun 2024
Spatio-Spectral Graph Neural Networks
Spatio-Spectral Graph Neural Networks
Simon Geisler
Arthur Kosmala
Daniel Herbst
Stephan Günnemann
121
9
0
29 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Conditional Shift-Robust Conformal Prediction for Graph Neural Network
Akansha Agrawal
UQCV
255
1
0
20 May 2024
Simplified PCNet with Robustness
Simplified PCNet with Robustness
Bingheng Li
Xuanting Xie
Haoxiang Lei
Ruiyi Fang
Zhao Kang
125
7
0
06 Mar 2024
Graph Learning with Distributional Edge Layouts
Graph Learning with Distributional Edge Layouts
Xinjian Zhao
Chaolong Ying
Tianshu Yu
71
1
0
26 Feb 2024
Graph Positional Encoding via Random Feature Propagation
Graph Positional Encoding via Random Feature Propagation
Moshe Eliasof
Fabrizio Frasca
Beatrice Bevilacqua
Eran Treister
Gal Chechik
Haggai Maron
99
20
0
06 Mar 2023
Not too little, not too much: a theoretical analysis of graph
  (over)smoothing
Not too little, not too much: a theoretical analysis of graph (over)smoothing
Nicolas Keriven
116
98
0
24 May 2022
Graph Neural Networks for Graphs with Heterophily: A Survey
Graph Neural Networks for Graphs with Heterophily: A Survey
Xin-Yang Zheng
Yi Wang
Yixin Liu
Ming Li
Miao Zhang
Di Jin
Philip S. Yu
Shirui Pan
110
227
0
14 Feb 2022
Adaptive Universal Generalized PageRank Graph Neural Network
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien
Jianhao Peng
Pan Li
O. Milenkovic
299
747
0
14 Jun 2020
1