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Geometric deep learning on graphs and manifolds using mixture model CNNs
v1v2v3 (latest)

Geometric deep learning on graphs and manifolds using mixture model CNNs

25 November 2016
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
    GNN
ArXiv (abs)PDFHTML

Papers citing "Geometric deep learning on graphs and manifolds using mixture model CNNs"

50 / 862 papers shown
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Maciej Besta
Torsten Hoefler
GNN
475
73
0
19 May 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networksData-Centric Engineering (DE), 2022
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINNAI4CE
249
52
0
16 May 2022
Spiking Graph Convolutional Networks
Spiking Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
GNN
150
59
0
05 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension
Learning Label Initialization for Time-Dependent Harmonic ExtensionInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
A. Azad
155
1
0
03 May 2022
Graph Anisotropic Diffusion
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffMGNN
169
0
0
30 Apr 2022
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in
  Shape Matching
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape MatchingComputer Vision and Pattern Recognition (CVPR), 2022
Nicolas Donati
E. Corman
M. Ovsjanikov
178
48
0
28 Apr 2022
Collaborative Learning for Hand and Object Reconstruction with
  Attention-guided Graph Convolution
Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph ConvolutionComputer Vision and Pattern Recognition (CVPR), 2022
Tze Ho Elden Tse
K. Kim
A. Leonardis
H. Chang
3DH
323
76
0
27 Apr 2022
Unified GCNs: Towards Connecting GCNs with CNNs
Unified GCNs: Towards Connecting GCNs with CNNs
Ziyan Zhang
Bo Jiang
Bin Luo
GNN
144
1
0
26 Apr 2022
Simplicial Attention Networks
Simplicial Attention Networks
Christopher Wei Jin Goh
Cristian Bodnar
Pietro Lio
GNN
283
47
0
20 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks
Effects of Graph Convolutions in Multi-layer NetworksInternational Conference on Learning Representations (ICLR), 2022
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
274
30
0
20 Apr 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jia Zhang
Rajgopal Kannan
C.-C. Jay Kuo
204
5
0
19 Apr 2022
Surface Vision Transformers: Flexible Attention-Based Modelling of
  Biomedical Surfaces
Surface Vision Transformers: Flexible Attention-Based Modelling of Biomedical Surfaces
Simon Dahan
Hao Xu
Logan Z. J. Williams
Abdulah Fawaz
Chunhui Yang
...
A. Edwards
M. Glasser
Alistair Young
Daniel Rueckert
E. C. Robinson
ViTMedIm
251
1
0
07 Apr 2022
Path Development Network with Finite-dimensional Lie Group
  Representation
Path Development Network with Finite-dimensional Lie Group Representation
Han Lou
Siran Li
Hao Ni
239
10
0
02 Apr 2022
Graph-in-Graph (GiG): Learning interpretable latent graphs in
  non-Euclidean domain for biological and healthcare applications
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Kamilia Mullakaeva
Luca Cosmo
Anees Kazi
Seyed-Ahmad Ahmadi
Nassir Navab
Michael M. Bronstein
200
12
0
01 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed
  Machine Learning
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning
Chuizheng Meng
Sungyong Seo
Defu Cao
Sam Griesemer
Yan Liu
PINNAI4CE
282
131
0
31 Mar 2022
Surface Vision Transformers: Attention-Based Modelling applied to
  Cortical Analysis
Surface Vision Transformers: Attention-Based Modelling applied to Cortical AnalysisInternational Conference on Medical Imaging with Deep Learning (MIDL), 2022
Simon Dahan
Abdulah Fawaz
Logan Z. J. Williams
Chunhui Yang
Timothy S. Coalson
M. Glasser
A. Edwards
Daniel Rueckert
E. C. Robinson
MedImViT
188
26
0
30 Mar 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNNAI4CE
269
146
0
29 Mar 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting
  Graph Neural Networks
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2022
Wanyu Lin
Hao Lan
Hao Wang
Baochun Li
BDLCML
169
60
0
29 Mar 2022
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement
  Retrieval System
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval SystemIEEE International Conference on Data Engineering (ICDE), 2022
Zhirong Xu
Shiyang Wen
Junshan Wang
Guojun Liu
Liang Wang
...
Lei Ding
Yan Zhang
Di Zhang
Han Zhu
Bo Zheng
122
11
0
28 Mar 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks
SpeqNets: Sparsity-aware Permutation-equivariant Graph NetworksInternational Conference on Machine Learning (ICML), 2022
Christopher Morris
Gaurav Rattan
Sandra Kiefer
Siamak Ravanbakhsh
318
43
0
25 Mar 2022
A Deep-Discrete Learning Framework for Spherical Surface Registration
A Deep-Discrete Learning Framework for Spherical Surface RegistrationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Mohamed A. Suliman
Logan Z. J. Williams
Abdulah Fawaz
E. C. Robinson
106
12
0
24 Mar 2022
STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic
  flow prediction in Intelligent Transportation Systems
STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems
Wei Zhao
Shiqi Zhang
B. Zhou
Bei Wang
GNNAI4TS
257
4
0
21 Mar 2022
Implicit field supervision for robust non-rigid shape matching
Implicit field supervision for robust non-rigid shape matchingEuropean Conference on Computer Vision (ECCV), 2022
Ramanathan Sundararaman
Gautam Pai
M. Ovsjanikov
256
20
0
15 Mar 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object
  Manipulation
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Bokui Shen
Zhenyu Jiang
Chris Choy
Leonidas Guibas
Silvio Savarese
Anima Anandkumar
Yuke Zhu
AI4CE
318
50
0
14 Mar 2022
Symmetry Group Equivariant Architectures for Physics
Symmetry Group Equivariant Architectures for Physics
A. Bogatskiy
S. Ganguly
Thomas Kipf
Risi Kondor
David W. Miller
...
Jan T. Offermann
M. Pettee
P. Shanahan
C. Shimmin
S. Thais
AI4CE
188
30
0
11 Mar 2022
PathSAGE: Spatial Graph Attention Neural Networks With Random Path
  Sampling
PathSAGE: Spatial Graph Attention Neural Networks With Random Path SamplingInternational Conference on Neural Information Processing (ICONIP), 2022
Junhua Ma
Jiajun Li
Xueming Li
Xu Li
3DPCGNN
120
1
0
11 Mar 2022
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning
  Prediction of Synthetic Characters
SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic CharactersComputer Vision and Pattern Recognition (CVPR), 2022
Albert Mosella-Montoro
Javier Ruiz-Hidalgo
3DH
284
22
0
09 Mar 2022
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
3D Dense Face Alignment with Fused Features by Aggregating CNNs and GCNs
Y. Meng
Xu Chen
Dongxu Gao
Yitian Zhao
Xiaoyun Yang
Yihong Qiao
Xiaowei Huang
Yalin Zheng
3DH3DPCCVBM
208
3
0
09 Mar 2022
A Review of Topological Data Analysis for Cybersecurity
A Review of Topological Data Analysis for Cybersecurity
T. Davies
98
5
0
16 Feb 2022
XAI for Transformers: Better Explanations through Conservative
  Propagation
XAI for Transformers: Better Explanations through Conservative PropagationInternational Conference on Machine Learning (ICML), 2022
Ameen Ali
Thomas Schnake
Oliver Eberle
G. Montavon
Klaus-Robert Muller
Lior Wolf
FAtt
319
127
0
15 Feb 2022
Geometric Graph Representation Learning via Maximizing Rate Reduction
Geometric Graph Representation Learning via Maximizing Rate ReductionThe Web Conference (WWW), 2022
Xiaotian Han
Zhimeng Jiang
Ninghao Liu
Qingquan Song
Jundong Li
Helen Zhou
118
23
0
13 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias
FMP: Toward Fair Graph Message Passing against Topology Bias
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
147
50
0
08 Feb 2022
Joint-bone Fusion Graph Convolutional Network for Semi-supervised
  Skeleton Action Recognition
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action RecognitionIEEE transactions on multimedia (IEEE TMM), 2022
Zhigang Tu
Jiaxu Zhang
Hongyan Li
Yujin Chen
Junsong Yuan
197
115
0
08 Feb 2022
Deep Dynamic Effective Connectivity Estimation from Multivariate Time
  Series
Deep Dynamic Effective Connectivity Estimation from Multivariate Time SeriesIEEE International Joint Conference on Neural Network (IJCNN), 2022
Usman Mahmood
Z. Fu
Vince D. Calhoun
Sergey Plis
304
3
0
04 Feb 2022
Graph-Coupled Oscillator Networks
Graph-Coupled Oscillator NetworksInternational Conference on Machine Learning (ICML), 2022
T. Konstantin Rusch
B. Chamberlain
J. Rowbottom
S. Mishra
M. Bronstein
325
143
0
04 Feb 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal
  Transport
Bending Graphs: Hierarchical Shape Matching using Gated Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2022
Mahdi Saleh
Shun-cheng Wu
Luca Cosmo
Nassir Navab
Benjamin Busam
F. Tombari
186
26
0
03 Feb 2022
Learning Mechanically Driven Emergent Behavior with Message Passing
  Neural Networks
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks
Peerasait Prachaseree
Emma Lejeune
PINNAI4CE
235
12
0
03 Feb 2022
Data-driven emergence of convolutional structure in neural networks
Data-driven emergence of convolutional structure in neural networksProceedings of the National Academy of Sciences of the United States of America (PNAS), 2022
Alessandro Ingrosso
Sebastian Goldt
351
41
0
01 Feb 2022
Laplacian2Mesh: Laplacian-Based Mesh Understanding
Laplacian2Mesh: Laplacian-Based Mesh UnderstandingIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022
Qiujie Dong
Zixiong Wang
Manyi Li
Junjie Gao
Shuangmin Chen
Zhenyu Shu
Shiqing Xin
Changhe Tu
Wenping Wang
183
38
0
01 Feb 2022
Rewiring with Positional Encodings for Graph Neural Networks
Rewiring with Positional Encodings for Graph Neural Networks
Rickard Brüel-Gabrielsson
Mikhail Yurochkin
Justin Solomon
AI4CE
455
41
0
29 Jan 2022
Image Classification using Graph Neural Network and Multiscale Wavelet
  Superpixels
Image Classification using Graph Neural Network and Multiscale Wavelet SuperpixelsPattern Recognition Letters (PR), 2022
V. Vasudevan
M. Bassenne
Md Tauhidul Islam
Lei Xing
136
41
0
29 Jan 2022
Deconfounding to Explanation Evaluation in Graph Neural Networks
Deconfounding to Explanation Evaluation in Graph Neural Networks
Yingmin Wu
Xiang Wang
An Zhang
Helen Zhou
Fuli Feng
Xiangnan He
Tat-Seng Chua
FAttCML
199
15
0
21 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias
Debiased Graph Neural Networks with Agnostic Label Selection BiasIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Shaohua Fan
Xiao Wang
Chuan Shi
Kun Kuang
Nian Liu
Bai Wang
AI4CE
291
46
0
19 Jan 2022
Graph Decipher: A transparent dual-attention graph neural network to
  understand the message-passing mechanism for the node classification
Graph Decipher: A transparent dual-attention graph neural network to understand the message-passing mechanism for the node classificationInternational Journal of Intelligent Systems (IJIS), 2022
Yan Pang
Chao Liu
GNN
162
15
0
04 Jan 2022
Attention-Based Recommendation On Graphs
Attention-Based Recommendation On Graphs
Taher Hekmatfar
Saman Haratizadeh
Parsa Razban
S. Goliaei
GNN
189
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0
04 Jan 2022
Graph Neural Networks: a bibliometrics overview
Graph Neural Networks: a bibliometrics overviewMachine Learning with Applications (MLA), 2022
Abdalsamad Keramatfar
Mohadeseh Rafiee
Hossein Amirkhani
GNNAI4CE
160
33
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03 Jan 2022
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for
  Graph Neural Network
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural NetworkInternational Journal of Intelligent Systems (IJIS), 2021
Jiyang Bai
Yuxiang Ren
Jiawei Zhang
151
3
0
30 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph
  Convolutional Networks
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Weigang Lu
Yibing Zhan
Binbin Lin
Ziyu Guan
Liu Liu
Baosheng Yu
Ziyu Guan
Yaming Yang
Dacheng Tao
GNN
231
21
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22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced
  Classes and New Classes
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New ClassesNeural Networks (NN), 2021
Lukas Galke
Iacopo Vagliano
Benedikt Franke
Tobias Zielke
Marcel Hoffmann
A. Scherp
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227
19
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20 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far
Weisfeiler and Leman go Machine Learning: The Story so farJournal of machine learning research (JMLR), 2021
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
404
133
0
18 Dec 2021
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