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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
Development of Human Motion Prediction Strategy using Inception Residual
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Development of Human Motion Prediction Strategy using Inception Residual BlockMultimedia tools and applications (MTA), 2021
Shekhar Gupta
G. Yadav
G. C. Nandi
3DH
124
4
0
09 Aug 2021
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using
  Permutohedral Lattices
LatticeNet: Fast Spatio-Temporal Point Cloud Segmentation Using Permutohedral LatticesAutonomous Robots (Auton. Robots), 2021
R. Rosu
Peer Schütt
Jan Quenzel
Sven Behnke
3DPC
210
37
0
09 Aug 2021
OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution
OSCAR-Net: Object-centric Scene Graph Attention for Image AttributionIEEE International Conference on Computer Vision (ICCV), 2021
Eric N. D. Nguyen
Tu Bui
Vishy Swaminathan
John Collomosse
169
18
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
116
5
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 EquationsNeural Information Processing Systems (NeurIPS), 2021
Moshe Eliasof
E. Haber
Eran Treister
GNNAI4CE
318
149
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
291
18
0
03 Aug 2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Zeyu Hu
Xuyang Bai
Jiaxiang Shang
Runze Zhang
Jiayu Dong
Xin Eric Wang
Guangyuan Sun
Hongbo Fu
Chiew-Lan Tai
3DPC
259
10
0
29 Jul 2021
Geometric Deep Learning on Molecular Representations
Geometric Deep Learning on Molecular RepresentationsNature Machine Intelligence (Nat. Mach. Intell.), 2021
Kenneth Atz
F. Grisoni
G. Schneider
AI4CE
531
364
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 NetworksACM Computing Surveys (CSUR), 2021
Zhiqian Chen
Fanglan Chen
Lei Zhang
Taoran Ji
Kaiqun Fu
Bo Pan
Feng Chen
Lingfei Wu
Charu C. Aggarwal
Chang-Tien Lu
670
35
0
21 Jul 2021
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic
  Filtering
Beyond Low-pass Filtering: Graph Convolutional Networks with Automatic FilteringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Zonghan Wu
Shirui Pan
Guodong Long
Jing Jiang
Chengqi Zhang
GNN
172
46
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
155
7
0
02 Jul 2021
Exploring the Latent Space of Autoencoders with Interventional Assays
Exploring the Latent Space of Autoencoders with Interventional AssaysNeural Information Processing Systems (NeurIPS), 2021
Felix Leeb
Stefan Bauer
M. Besserve
Bernhard Schölkopf
DRL
329
23
0
30 Jun 2021
Curvature Graph Neural Network
Curvature Graph Neural NetworkInformation Sciences (Inf. Sci.), 2021
Haifeng Li
Jun Cao
Jiawei Zhu
Yu Liu
Qing Zhu
Guohua Wu
218
61
0
30 Jun 2021
Subgroup Generalization and Fairness of Graph Neural Networks
Subgroup Generalization and Fairness of Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2021
Jiaqi Ma
Junwei Deng
Qiaozhu Mei
262
91
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
399
284
0
23 Jun 2021
Learnt Sparsification for Interpretable Graph Neural Networks
Learnt Sparsification for Interpretable Graph Neural Networks
Mandeep Rathee
Zijian Zhang
Thorben Funke
Megha Khosla
Avishek Anand
194
4
0
23 Jun 2021
Graph coarsening: From scientific computing to machine learning
Graph coarsening: From scientific computing to machine learningSeMA Journal (SeMA), 2021
Jie Chen
Y. Saad
Zecheng Zhang
176
47
0
22 Jun 2021
Particle Cloud Generation with Message Passing Generative Adversarial
  Networks
Particle Cloud Generation with Message Passing Generative Adversarial NetworksNeural Information Processing Systems (NeurIPS), 2021
Raghav Kansal
Javier Mauricio Duarte
Haoran Su
B. Orzari
T. Tomei
M. Pierini
M. Touranakou
J. Vlimant
Dimitrios Gunopulos
229
85
0
22 Jun 2021
GRAND: Graph Neural Diffusion
GRAND: Graph Neural DiffusionInternational Conference on Machine Learning (ICML), 2021
B. Chamberlain
J. Rowbottom
Maria I. Gorinova
Stefan Webb
Emanuele Rossi
M. Bronstein
GNN
390
330
0
21 Jun 2021
DeepMesh: Differentiable Iso-Surface Extraction
DeepMesh: Differentiable Iso-Surface ExtractionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Benoît Guillard
Edoardo Remelli
Artem Lukoianov
Stephan R. Richter
Timur M. Bagautdinov
Pierre Baqué
Pascal Fua
AI4CE
242
22
0
20 Jun 2021
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and
  Self-supervised Pretraining
Graph Context Encoder: Graph Feature Inpainting for Graph Generation and Self-supervised Pretraining
Oriel Frigo
Rémy Brossard
David Dehaene
118
2
0
18 Jun 2021
Training or Architecture? How to Incorporate Invariance in Neural
  Networks
Training or Architecture? How to Incorporate Invariance in Neural Networks
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
3DPCOOD
115
11
0
18 Jun 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One
  Go
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One GoComputer Vision and Pattern Recognition (CVPR), 2021
Marvin Eisenberger
David Novotny
Gael Kerchenbaum
Patrick Labatut
Natalia Neverova
Zorah Lähner
Andrea Vedaldi
3DH3DPC
300
88
0
17 Jun 2021
Online Handbook of Argumentation for AI: Volume 2
Online Handbook of Argumentation for AI: Volume 2
Ohaai Collaboration Andreas Brannstrom
Andreas Brannstrom
Federico Castagna
Theo Duchatelle
Matt Foulis
...
Robin Schaefer
Luke Thorburn
A. Xydis
Antonio Yuste-Ginel
Heng Zheng
147
1
0
16 Jun 2021
Training Graph Neural Networks with 1000 Layers
Training Graph Neural Networks with 1000 LayersInternational Conference on Machine Learning (ICML), 2021
Guohao Li
Matthias Muller
Guohao Li
V. Koltun
GNNAI4CE
414
281
0
14 Jun 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent
  Trajectory Prediction
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
Xiaoyu Mo
Yang Xing
Chen Lv
212
29
0
14 Jun 2021
Graph Neural Networks with Local Graph Parameters
Graph Neural Networks with Local Graph ParametersNeural Information Processing Systems (NeurIPS), 2021
Pablo Barceló
Floris Geerts
Juan L. Reutter
Maksimilian Ryschkov
162
77
0
12 Jun 2021
Survey of Image Based Graph Neural Networks
Survey of Image Based Graph Neural Networks
U. Nazir
He Wang
M. Taj
GNN
161
9
0
11 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening
Scaling Up Graph Neural Networks Via Graph CoarseningKnowledge Discovery and Data Mining (KDD), 2021
Zengfeng Huang
Shengzhong Zhang
Chong Xi
T. Liu
Min Zhou
GNN
288
127
0
09 Jun 2021
Rethinking Graph Transformers with Spectral Attention
Rethinking Graph Transformers with Spectral AttentionNeural Information Processing Systems (NeurIPS), 2021
Devin Kreuzer
Dominique Beaini
William L. Hamilton
Vincent Létourneau
Prudencio Tossou
510
696
0
07 Jun 2021
Graph Neural Networks in Network Neuroscience
Graph Neural Networks in Network NeuroscienceIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Alaa Bessadok
Mohamed Ali Mahjoub
I. Rekik
GNN
298
259
0
07 Jun 2021
Subdivision-Based Mesh Convolution Networks
Subdivision-Based Mesh Convolution NetworksACM Transactions on Graphics (TOG), 2021
Shimin Hu
Zheng-Ning Liu
Meng-Hao Guo
Junxiong Cai
Jiahui Huang
Tai-Jiang Mu
Ralph Robert Martin
3DV
177
149
0
04 Jun 2021
Multiresolution Equivariant Graph Variational Autoencoder
Multiresolution Equivariant Graph Variational Autoencoder
Truong-Son Hy
Risi Kondor
245
21
0
02 Jun 2021
How Attentive are Graph Attention Networks?
How Attentive are Graph Attention Networks?International Conference on Learning Representations (ICLR), 2021
Shaked Brody
Uri Alon
Eran Yahav
GNN
508
1,527
0
30 May 2021
Self-Supervised Graph Representation Learning via Topology
  Transformations
Self-Supervised Graph Representation Learning via Topology TransformationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Yantao Du
Wei Hu
Guo-Jun Qi
SSL
179
7
0
25 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications
Revisiting 2D Convolutional Neural Networks for Graph-based ApplicationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Yecheng Lyu
Xinming Huang
Ziming Zhang
GNN
161
6
0
23 May 2021
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image
  Classification
Superpixel-based Knowledge Infusion in Deep Neural Networks for Image ClassificationACM Southeast Regional Conference (SR), 2021
Gunjan Chhablani
Abheesht Sharma
Harshit Pandey
T. Dash
SupR
189
7
0
20 May 2021
Protein sequence-to-structure learning: Is this the end(-to-end
  revolution)?
Protein sequence-to-structure learning: Is this the end(-to-end revolution)?Proteins: Structure, Function, and Bioinformatics (Proteins), 2021
É. Laine
Stephan Eismann
A. Elofsson
Sergei Grudinin
OOD3DV
242
37
0
16 May 2021
Multi-task Graph Convolutional Neural Network for Calcification
  Morphology and Distribution Analysis in Mammograms
Multi-task Graph Convolutional Neural Network for Calcification Morphology and Distribution Analysis in Mammograms
Hao Du
Melissa Min-Szu Yao
Liangyu Chen
Wing P. Chan
Mengling Feng
MedIm
146
2
0
14 May 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with
  Graphs
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with GraphsInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Christopher Morris
Matthias Fey
Nils M. Kriege
GNN
183
26
0
12 May 2021
Homogeneous vector bundles and $G$-equivariant convolutional neural
  networks
Homogeneous vector bundles and GGG-equivariant convolutional neural networksSampling Theory, Signal Processing, and Data Analysis (SAMPTA), 2021
J. Aronsson
211
27
0
12 May 2021
Graph Attention Networks with Positional Embeddings
Graph Attention Networks with Positional EmbeddingsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021
Liheng Ma
Reihaneh Rabbany
Adriana Romero Soriano
GNN
268
25
0
09 May 2021
Q-Match: Iterative Shape Matching via Quantum Annealing
Q-Match: Iterative Shape Matching via Quantum AnnealingIEEE International Conference on Computer Vision (ICCV), 2021
Marcel Seelbach Benkner
Zorah Lähner
Vladislav Golyanik
C. Wunderlich
Christian Theobalt
Michael Moeller
232
38
0
06 May 2021
Learning Feature Aggregation for Deep 3D Morphable Models
Learning Feature Aggregation for Deep 3D Morphable ModelsComputer Vision and Pattern Recognition (CVPR), 2021
Zhixiang Chen
Tae-Kyun Kim
3DPC3DH
191
30
0
05 May 2021
Graph Learning: A Survey
Graph Learning: A SurveyIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Xiwei Xu
Ke Sun
Shuo Yu
Abdul Aziz
Liangtian Wan
Shirui Pan
Huan Liu
GNN
260
443
0
03 May 2021
HodgeNet: Learning Spectral Geometry on Triangle Meshes
HodgeNet: Learning Spectral Geometry on Triangle MeshesACM Transactions on Graphics (TOG), 2021
Dmitriy Smirnov
Justin Solomon
222
30
0
26 Apr 2021
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks
LGD-GCN: Local and Global Disentangled Graph Convolutional Networks
Jingwei Guo
Kaizhu Huang
Xinping Yi
Rui Zhang
133
9
0
24 Apr 2021
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
149
4
0
22 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient
  Detection of Nutrient Deficiency Stress from Aerial Imagery
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery
Saba Dadsetan
David Pichler
David Wilson
N. Hovakimyan
Jennifer Hobbs
266
8
0
20 Apr 2021
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
OmniLayout: Room Layout Reconstruction from Indoor Spherical Panoramas
Shivansh Rao
Vikas Kumar
Daniel Kifer
C. Lee Giles
A. Mali
3DPC
122
12
0
19 Apr 2021
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