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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
Discovering Supply Chain Links with Augmented Intelligence
Discovering Supply Chain Links with Augmented Intelligence
Achintya Gopal
Chun-Han Chang
61
3
0
02 Nov 2021
Multi-Task Learning based Convolutional Models with Curriculum Learning
  for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
Multi-Task Learning based Convolutional Models with Curriculum Learning for the Anisotropic Reynolds Stress Tensor in Turbulent Duct Flow
Haitz Sáez de Ocáriz Borde
David Sondak
P. Protopapas
AI4CE
38
3
0
30 Oct 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical
  Systems
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
104
32
0
28 Oct 2021
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit
  Representations
AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
Simon Giebenhain
Bastian Goldlücke
3DPC
70
15
0
22 Oct 2021
DPFM: Deep Partial Functional Maps
DPFM: Deep Partial Functional Maps
Souhaib Attaiki
Gautam Pai
M. Ovsjanikov
93
62
0
19 Oct 2021
Beltrami Flow and Neural Diffusion on Graphs
Beltrami Flow and Neural Diffusion on Graphs
B. Chamberlain
J. Rowbottom
D. Eynard
Francesco Di Giovanni
Xiaowen Dong
M. Bronstein
AI4CE
88
86
0
18 Oct 2021
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different
  Sizes
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes
Sara Hahner
Jochen Garcke
AI4CE
83
17
0
18 Oct 2021
Understanding GNN Computational Graph: A Coordinated Computation, IO,
  and Memory Perspective
Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective
Hengrui Zhang
Zhongming Yu
Guohao Dai
Guyue Huang
Yufei Ding
Yuan Xie
Yu Wang
GNN
64
47
0
18 Oct 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self
  Construction
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction
Itai Lang
Dvir Ginzburg
S. Avidan
D. Raviv
3DPC
91
33
0
16 Oct 2021
PolyNet: Polynomial Neural Network for 3D Shape Recognition with
  PolyShape Representation
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation
Mohsen Yavartanoo
Shih-Hsuan Hung
Reyhaneh Neshatavar
Yue Zhang
Kyoung Mu Lee
79
17
0
15 Oct 2021
Graph Neural Networks with Learnable Structural and Positional
  Representations
Graph Neural Networks with Learnable Structural and Positional Representations
Vijay Prakash Dwivedi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
GNN
297
330
0
15 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks
SoGCN: Second-Order Graph Convolutional Networks
Peihao Wang
Yuehao Wang
Hua Lin
Jianbo Shi
87
3
0
14 Oct 2021
Continuous Conditional Random Field Convolution for Point Cloud
  Segmentation
Continuous Conditional Random Field Convolution for Point Cloud Segmentation
Fei Yang
Franck Davoine
Huan Wang
Zhong Jin
3DV3DPC
94
34
0
12 Oct 2021
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNNFAttAI4CE
459
95
0
11 Oct 2021
BuildingNet: Learning to Label 3D Buildings
BuildingNet: Learning to Label 3D Buildings
Pratheba Selvaraju
Mohamed Nabail
Marios Loizou
Maria I. Maslioukova
Melinos Averkiou
Andreas C. Andreou
S. Chaudhuri
E. Kalogerakis
3DV3DPCAI4CE
73
40
0
11 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional
  Networks
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks
Moshe Eliasof
Ben Bodner
Eran Treister
GNN
79
9
0
10 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure
  Awareness
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao
Wei Jin
Leman Akoglu
Neil Shah
GNN
144
165
0
07 Oct 2021
Learning Canonical Embedding for Non-rigid Shape Matching
Learning Canonical Embedding for Non-rigid Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DV
79
1
0
06 Oct 2021
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
206
79
0
01 Oct 2021
DEBOSH: Deep Bayesian Shape Optimization
DEBOSH: Deep Bayesian Shape Optimization
Nikita Durasov
Artem Lukoyanov
Jonathan Donier
Pascal Fua
UQCVAI4CE
105
15
0
28 Sep 2021
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks
Yongcheng Jing
Yiding Yang
Xinchao Wang
Xiuming Zhang
Dacheng Tao
112
42
0
27 Sep 2021
AutoGCL: Automated Graph Contrastive Learning via Learnable View
  Generators
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators
Yihang Yin
Qingzhong Wang
Siyu Huang
Haoyi Xiong
Xiang Zhang
112
153
0
21 Sep 2021
Graph Neural Networks for Graph Drawing
Graph Neural Networks for Graph Drawing
Matteo Tiezzi
Gabriele Ciravegna
Marco Gori
87
21
0
21 Sep 2021
Local Augmentation for Graph Neural Networks
Local Augmentation for Graph Neural Networks
Songtao Liu
Rex Ying
Hanze Dong
Lanqing Li
Tingyang Xu
Yu Rong
P. Zhao
Junzhou Huang
Dinghao Wu
130
94
0
08 Sep 2021
The Sensory Neuron as a Transformer: Permutation-Invariant Neural
  Networks for Reinforcement Learning
The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning
Yujin Tang
David R Ha
104
77
0
07 Sep 2021
Quantifying the Reproducibility of Graph Neural Networks using
  Multigraph Brain Data
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
Mohammed Amine Gharsallaoui
I. Rekik
OOD
28
1
0
06 Sep 2021
Edge-featured Graph Neural Architecture Search
Edge-featured Graph Neural Architecture Search
Shaofei Cai
Liang Li
Xinzhe Han
Zhengjun Zha
Qingming Huang
54
7
0
03 Sep 2021
TraverseNet: Unifying Space and Time in Message Passing for Traffic
  Forecasting
TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting
Zonghan Wu
Da Zheng
Shirui Pan
Quan Gan
Guodong Long
George Karypis
AI4TS
75
34
0
25 Aug 2021
GrADE: A graph based data-driven solver for time-dependent nonlinear
  partial differential equations
GrADE: A graph based data-driven solver for time-dependent nonlinear partial differential equations
Y. Kumar
S. Chakraborty
69
8
0
24 Aug 2021
Deep Virtual Markers for Articulated 3D Shapes
Deep Virtual Markers for Articulated 3D Shapes
Hyomin Kim
Jungeon Kim
Jaewon Kam
Jaesik Park
Seungyong Lee
3DPC3DV
56
8
0
20 Aug 2021
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces
Mohsen Yavartanoo
Jaeyoung Chung
Reyhaneh Neshatavar
Kyoung Mu Lee
3DV
129
15
0
19 Aug 2021
Adaptive Graph Convolution for Point Cloud Analysis
Adaptive Graph Convolution for Point Cloud Analysis
Hao Zhou
Yidan Feng
Mingsheng Fang
Mingqiang Wei
J. Qin
Tong Lu
3DPC
103
142
0
18 Aug 2021
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
U-mesh: Human Correspondence Matching with Mesh Convolutional Networks
B. Groisser
A. Wolf
Ron Kimmel
3DH
55
0
0
15 Aug 2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks
Yuefan Shen
Hongbo Fu
Zhongshuo Du
Xiang Chen
Evgeny Burnaev
Denis Zorin
Kun Zhou
Youyi Zheng
AI4CE
81
38
0
11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold
Transductive Few-Shot Classification on the Oblique Manifold
Guodong Qi
Huimin Yu
Zhaohui Lu
Shuzhao Li
70
45
0
09 Aug 2021
Development of Human Motion Prediction Strategy using Inception Residual
  Block
Development of Human Motion Prediction Strategy using Inception Residual Block
Shekhar Gupta
G. Yadav
G. C. Nandi
3DH
63
3
0
09 Aug 2021
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using
  Permutohedral Lattices
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral Lattices
R. Rosu
Peer Schütt
Jan Quenzel
Sven Behnke
3DPC
77
32
0
09 Aug 2021
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
Eric N. D. Nguyen
Tu Bui
Vishy Swaminathan
John Collomosse
72
15
0
07 Aug 2021
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Enterprise Analytics using Graph Database and Graph-based Deep Learning
Shagufta Henna
Shyam Krishnan Kalliadan
GNN
31
2
0
05 Aug 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by
  Partial Differential Equations
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations
Moshe Eliasof
E. Haber
Eran Treister
GNNAI4CE
102
131
0
04 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
Mingxing Xu
Wenrui Dai
Chenglin Li
Junni Zou
H. Xiong
P. Frossard
106
13
0
03 Aug 2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
Zeyu Hu
Xuyang Bai
Jiaxiang Shang
Runze Zhang
Jiayu Dong
Xin Eric Wang
Guangyuan Sun
Hongbo Fu
Chiew-Lan Tai
3DPC
97
7
0
29 Jul 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular Representations
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
142
308
0
26 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified
  Framework for Graph Neural Networks
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Liang Zhao
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
160
21
0
21 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic
  Filtering
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic Filtering
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
71
31
0
10 Jul 2021
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional
  Networks
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional Networks
Shota Hattori
Tatsuya Yatagawa
Y. Ohtake
Hiromasa Suzuki
AI4CE
29
6
0
02 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays
Exploring the Latent Space of Autoencoders with Interventional Assays
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
93
18
0
30 Jun 2021
Curvature Graph Neural Network
Curvature Graph Neural Network
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
65
50
0
30 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks
Subgroup Generalization and Fairness of Graph Neural Networks
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
87
82
0
29 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks
Weisfeiler and Lehman Go Cellular: CW Networks
Cristian Bodnar
Fabrizio Frasca
N. Otter
Yu Guang Wang
Pietro Lio
Guido Montúfar
M. Bronstein
GNN
139
238
0
23 Jun 2021
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