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Spectral Multigraph Networks for Discovering and Fusing Relationships in
  Molecules

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules

23 November 2018
Boris Knyazev
Xiao Lin
Mohamed R. Amer
Graham W. Taylor
    GNN
ArXivPDFHTML

Papers citing "Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules"

9 / 9 papers shown
Title
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Beyond Sequence: Impact of Geometric Context for RNA Property Prediction
Junjie Xu
Artem Moskalev
Tommaso Mansi
Mangal Prakash
Rui Liao
AI4CE
26
1
0
15 Oct 2024
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph
  Neural Networks For Enhanced Unified Representation
AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
Peiyu Liang
Hongchang Gao
Xubin He
30
0
0
04 Jun 2024
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
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid
  Scattering Networks
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks
Frederik Wenkel
Yimeng Min
M. Hirn
Michael Perlmutter
Guy Wolf
GNN
19
19
0
22 Jan 2022
Convolutional Filtering and Neural Networks with Non Commutative
  Algebras
Convolutional Filtering and Neural Networks with Non Commutative Algebras
Alejandro Parada-Mayorga
Landon Butler
Alejandro Ribeiro
27
10
0
23 Aug 2021
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
21
60
0
26 Mar 2020
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph Networks
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNN
BDL
19
35
0
21 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
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
247
3,236
0
24 Nov 2016
1