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Spectral Clustering with Graph Neural Networks for Graph Pooling

Spectral Clustering with Graph Neural Networks for Graph Pooling

30 June 2019
F. Bianchi
Daniele Grattarola
C. Alippi
    GNN
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Papers citing "Spectral Clustering with Graph Neural Networks for Graph Pooling"

10 / 10 papers shown
Title
Deep Modularity Networks with Diversity--Preserving Regularization
Deep Modularity Networks with Diversity--Preserving Regularization
Yasmin Salehi
D. Giannacopoulos
31
0
0
23 Jan 2025
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Grouping-matrix based Graph Pooling with Adaptive Number of Clusters
Sung Moon Ko
Sungjun Cho
Dae-Woong Jeong
Sehui Han
Moontae Lee
Ho Hin Lee
16
9
0
07 Sep 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs
Yijun Tian
Chuxu Zhang
Zhichun Guo
Xiangliang Zhang
Nitesh V. Chawla
34
14
0
22 Aug 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
22
12
0
17 Feb 2022
Graph-less Neural Networks: Teaching Old MLPs New Tricks via
  Distillation
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation
Shichang Zhang
Yozen Liu
Yizhou Sun
Neil Shah
31
173
0
17 Oct 2021
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable Models
Zhixiang Chen
Tae-Kyun Kim
3DPC
3DH
31
24
0
05 May 2021
Memory-Based Graph Networks
Memory-Based Graph Networks
Amir Hosein Khas Ahmadi
Kaveh Hassani
Parsa Moradi
Leo Lee
Q. Morris
GNN
21
90
0
21 Feb 2020
Convolutional Neural Network Architectures for Signals Supported on
  Graphs
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama
A. Marques
G. Leus
Alejandro Ribeiro
122
285
0
01 May 2018
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
1,811
0
25 Nov 2016
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
236
3,234
0
24 Nov 2016
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