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Image Classification with Hierarchical Multigraph Networks

Image Classification with Hierarchical Multigraph Networks

21 July 2019
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
    GNN
    BDL
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Papers citing "Image Classification with Hierarchical Multigraph Networks"

9 / 9 papers shown
Title
Spatio-Temporal driven Attention Graph Neural Network with Block
  Adjacency matrix (STAG-NN-BA)
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir
W. Islam
M. Taj
18
3
0
25 Mar 2023
Multimodal learning with graphs
Multimodal learning with graphs
Yasha Ektefaie
George Dasoulas
Ayush Noori
Maha Farhat
Marinka Zitnik
51
82
0
07 Sep 2022
Interpretable Graph Capsule Networks for Object Recognition
Interpretable Graph Capsule Networks for Object Recognition
Jindong Gu
Volker Tresp
FAtt
13
36
0
03 Dec 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive
  Class Weighting Loss for Semantic Segmentation
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
SSL
25
35
0
21 Apr 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
27
125
0
30 Jul 2019
Iterative Visual Reasoning Beyond Convolutions
Iterative Visual Reasoning Beyond Convolutions
Xinlei Chen
Li-Jia Li
Li Fei-Fei
Abhinav Gupta
LRM
GNN
34
213
0
29 Mar 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
251
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
250
3,236
0
24 Nov 2016
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