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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 / 847 papers shown
Title
Learning Canonical Embeddings for Unsupervised Shape Correspondence with
  Locally Linear Transformations
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations
Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
3DPC
72
1
0
05 Sep 2022
Deep Structural Causal Shape Models
Deep Structural Causal Shape Models
Rajat Rasal
Daniel Coelho De Castro
Nick Pawlowski
Ben Glocker
3DVMedIm
89
14
0
23 Aug 2022
Hierarchically Decomposed Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition
Junghoon Lee
Minhyeok Lee
Dogyoon Lee
Sangyoon Lee
BDL
100
141
0
23 Aug 2022
MolGraph: a Python package for the implementation of molecular graphs
  and graph neural networks with TensorFlow and Keras
MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras
Alexander Kensert
G. Desmet
D. Cabooter
36
6
0
21 Aug 2022
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks
ULDGNN: A Fragmented UI Layer Detector Based on Graph Neural Networks
Jiazhi Li
Tingting Zhou
Yunnong Chen
Ya-Hsuan Chang
Yankun Zhen
Lingyun Sun
Liuqing Chen
23
4
0
13 Aug 2022
Motif-based Graph Representation Learning with Application to Chemical
  Molecules
Motif-based Graph Representation Learning with Application to Chemical Molecules
Yifei Wang
Shiyang Chen
Guobin Chen
Ethan Shurberg
Hang Liu
Pengyu Hong
GNN
62
14
0
09 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistry
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNNAI4CE
125
419
0
05 Aug 2022
S$^2$Contact: Graph-based Network for 3D Hand-Object Contact Estimation
  with Semi-Supervised Learning
S2^22Contact: Graph-based Network for 3D Hand-Object Contact Estimation with Semi-Supervised Learning
Tze Ho Elden Tse
Zhongqun Zhang
K. Kim
A. Leonardis
Feng Zheng
H. Chang
3DH
61
8
0
01 Aug 2022
Neural network layers as parametric spans
Neural network layers as parametric spans
M. Bergomi
Pietro Vertechi
AI4CE
63
2
0
01 Aug 2022
Modelling Social Context for Fake News Detection: A Graph Neural Network
  Based Approach
Modelling Social Context for Fake News Detection: A Graph Neural Network Based Approach
P. Saikia
Kshitij Gundale
A. Jain
Dev Jadeja
Harvi Patel
Mohendra Roy
GNN
34
5
0
27 Jul 2022
ScoreCAM GNN: une explication optimale des réseaux profonds sur
  graphes
ScoreCAM GNN: une explication optimale des réseaux profonds sur graphes
Adrien Raison
Pascal Bourdon
David Helbert
FAttGNN
69
0
0
26 Jul 2022
Unsupervised Deep Multi-Shape Matching
Unsupervised Deep Multi-Shape Matching
Dongliang Cao
Florian Bernard
3DPC3DV
112
34
0
20 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
pathGCN: Learning General Graph Spatial Operators from Paths
Moshe Eliasof
E. Haber
Eran Treister
3DPCGNN
65
28
0
15 Jul 2022
Deep Image Clustering with Contrastive Learning and Multi-scale Graph
  Convolutional Networks
Deep Image Clustering with Contrastive Learning and Multi-scale Graph Convolutional Networks
Yuan Xu
Dong Huang
Changdong Wang
Jianhuang Lai
SSL
90
20
0
14 Jul 2022
GraphVid: It Only Takes a Few Nodes to Understand a Video
GraphVid: It Only Takes a Few Nodes to Understand a Video
Eitan Kosman
Dotan Di Castro
GNN
83
5
0
04 Jul 2022
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP
  Architecture
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture
Chengming Zhang
Tong Geng
Anqi Guo
Jiannan Tian
Martin C. Herbordt
Ang Li
Dingwen Tao
GNN
48
30
0
28 Jun 2022
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation
  Learning
Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning
Jiawei Zhang
GNN
22
0
0
27 Jun 2022
Ordered Subgraph Aggregation Networks
Ordered Subgraph Aggregation Networks
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
125
58
0
22 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node
  Classification with GNNs
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa
Koki Noda
Yuya Sasaki
Makoto Onizuka
93
21
0
18 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark
GOOD: A Graph Out-of-Distribution Benchmark
Shurui Gui
Xiner Li
Limei Wang
Shuiwang Ji
OOD
87
123
0
16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Changhao Nai
Xiang Wang
An Zhang
Y. Wu
Xiangnan He
Tat-Seng Chua
87
95
0
16 Jun 2022
How GNNs Facilitate CNNs in Mining Geometric Information from
  Large-Scale Medical Images
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images
Yiqing Shen
Bingxin Zhou
Xinye Xiong
Ruitian Gao
Yu Guang Wang
GNNMedIm
66
6
0
15 Jun 2022
A Deep Generative Model of Neonatal Cortical Surface Development
A Deep Generative Model of Neonatal Cortical Surface Development
Abdulah Fawaz
Logan Z. J. Williams
A. Edwards
E. C. Robinson
MedIm
29
3
0
15 Jun 2022
Parameter Convex Neural Networks
Parameter Convex Neural Networks
Jingcheng Zhou
Wei Wei
Xing Li
Bowen Pang
Zhiming Zheng
16
0
0
11 Jun 2022
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle
  Phase Transition
ACMP: Allen-Cahn Message Passing for Graph Neural Networks with Particle Phase Transition
Yuelin Wang
Kai Yi
Xinliang Liu
Yu Guang Wang
Shi Jin
111
37
0
11 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point Clouds
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
110
40
0
09 Jun 2022
EiX-GNN : Concept-level eigencentrality explainer for graph neural
  networks
EiX-GNN : Concept-level eigencentrality explainer for graph neural networks
Adrien Raison
Pascal Bourdon
David Helbert
55
1
0
07 Jun 2022
Surface Analysis with Vision Transformers
Surface Analysis with Vision Transformers
Simon Dahan
Logan Z. J. Williams
Abdulah Fawaz
Daniel Rueckert
E. C. Robinson
ViTMedIm
74
2
0
31 May 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
113
13
0
31 May 2022
Automatic Relation-aware Graph Network Proliferation
Automatic Relation-aware Graph Network Proliferation
Shaofei Cai
Liang Li
Xinzhe Han
Jiebo Luo
Zhengjun Zha
Qingming Huang
GNN
62
8
0
31 May 2022
Personalized PageRank Graph Attention Networks
Personalized PageRank Graph Attention Networks
Julie Choi
GNN
29
6
0
27 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions
Capturing Graphs with Hypo-Elliptic Diffusions
Csaba Tóth
Darrick Lee
Celia Hacker
Harald Oberhauser
89
13
0
27 May 2022
Your Transformer May Not be as Powerful as You Expect
Your Transformer May Not be as Powerful as You Expect
Shengjie Luo
Shanda Li
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
Di He
139
54
0
26 May 2022
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM
Chris Denniston
Yun Chang
Andrzej Reinke
K. Ebadi
Gaurav Sukhatme
Luca Carlone
B. Morrell
Ali-akbar Agha-mohammadi
95
26
0
24 May 2022
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua
Guillaume Rabusseau
Jian Tang
122
26
0
24 May 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency
  Analysis
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis
Maciej Besta
Torsten Hoefler
GNN
111
57
0
19 May 2022
Scalable algorithms for physics-informed neural and graph networks
Scalable algorithms for physics-informed neural and graph networks
K. Shukla
Mengjia Xu
N. Trask
George Karniadakis
PINNAI4CE
131
41
0
16 May 2022
Spiking Graph Convolutional Networks
Spiking Graph Convolutional Networks
Zulun Zhu
Jiaying Peng
Jintang Li
Liang Chen
Qi Yu
Siqiang Luo
GNN
62
46
0
05 May 2022
Learning Label Initialization for Time-Dependent Harmonic Extension
Learning Label Initialization for Time-Dependent Harmonic Extension
A. Azad
78
1
0
03 May 2022
Graph Anisotropic Diffusion
Graph Anisotropic Diffusion
Ahmed A. A. Elhag
Gabriele Corso
Hannes Stärk
Michael M. Bronstein
DiffMGNN
60
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 Matching
Nicolas Donati
E. Corman
M. Ovsjanikov
68
35
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 Convolution
Tze Ho Elden Tse
K. Kim
A. Leonardis
H. Chang
3DH
139
61
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
83
1
0
26 Apr 2022
Simplicial Attention Networks
Simplicial Attention Networks
Christopher Wei Jin Goh
Cristian Bodnar
Pietro Lio
GNN
107
40
0
20 Apr 2022
Effects of Graph Convolutions in Multi-layer Networks
Effects of Graph Convolutions in Multi-layer Networks
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
96
26
0
20 Apr 2022
Label Efficient Regularization and Propagation for Graph Node
  Classification
Label Efficient Regularization and Propagation for Graph Node Classification
Tian Xie
Rajgopal Kannan
C.-C. Jay Kuo
49
2
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
72
0
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
127
8
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
83
8
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
122
59
0
31 Mar 2022
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