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Spatial Graph Convolutional Networks
v1v2 (latest)

Spatial Graph Convolutional Networks

11 September 2019
Tomasz Danel
Przemysław Spurek
Jacek Tabor
Marek Śmieja
Lukasz Struski
Agnieszka Słowik
Lukasz Maziarka
    GNN
ArXiv (abs)PDFHTML

Papers citing "Spatial Graph Convolutional Networks"

9 / 9 papers shown
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
U. Nazir
W. Islam
M. Taj
Murtaza Taj
282
4
0
25 Mar 2023
Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular
  Geometry
Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry
Daniel T. Chang
179
1
0
16 Jul 2022
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable
  Computation
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable ComputationComputer Vision and Pattern Recognition (CVPR), 2021
Ryuhei Hamaguchi
Yasutaka Furukawa
Masaki Onishi
Ken Sakurada
203
4
0
22 Apr 2021
Learning from Protein Structure with Geometric Vector Perceptrons
Learning from Protein Structure with Geometric Vector PerceptronsInternational Conference on Learning Representations (ICLR), 2020
Bowen Jing
Stephan Eismann
Patricia Suriana
Raphael J. L. Townshend
R. Dror
GNN3DV
495
612
0
03 Sep 2020
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal
  Compression in Real-time BCIs
ROS-Neuro Integration of Deep Convolutional Autoencoders for EEG Signal Compression in Real-time BCIsIEEE International Conference on Systems, Man and Cybernetics (SMC), 2020
Andrea Valenti
M. Barsotti
R. Brondi
D. Bacciu
L. Ascari
192
4
0
31 Aug 2020
Distance-Geometric Graph Convolutional Network (DG-GCN) for
  Three-Dimensional (3D) Graphs
Distance-Geometric Graph Convolutional Network (DG-GCN) for Three-Dimensional (3D) Graphs
Daniel T. Chang
GNN
276
1
0
06 Jul 2020
Geometric Graph Representations and Geometric Graph Convolutions for
  Deep Learning on Three-Dimensional (3D) Graphs
Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs
Daniel T. Chang
GNN
149
5
0
02 Jun 2020
Superpixel Image Classification with Graph Attention Networks
Superpixel Image Classification with Graph Attention NetworksSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020
Pedro H. C. Avelar
Anderson R. Tavares
T. L. T. D. Silveira
C. R. Jung
Luís C. Lamb
GNN
258
59
0
13 Feb 2020
Multitask Learning On Graph Neural Networks Applied To Molecular
  Property Predictions
Multitask Learning On Graph Neural Networks Applied To Molecular Property Predictions
Fabio Capela
Vincent Nouchi
R. V. Deursen
Igor V. Tetko
Guillaume Godin
AI4CE
216
20
0
29 Oct 2019
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