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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
HCL: Improving Graph Representation with Hierarchical Contrastive
  Learning
HCL: Improving Graph Representation with Hierarchical Contrastive LearningInternational Workshop on the Semantic Web (SW), 2022
Jun Wang
Weixun Li
Changyu Hou
Xin Tang
Yixuan Qiao
Rui Fang
Pengyong Li
Peng Gao
Guowang Xie
183
1
0
21 Oct 2022
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape
  Correspondence
Anisotropic Multi-Scale Graph Convolutional Network for Dense Shape CorrespondenceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mohammad Farazi
Wenjie Zhu
Zhangsihao Yang
Yalin Wang
3DPC
190
4
0
17 Oct 2022
Pixel-Aligned Non-parametric Hand Mesh Reconstruction
Pixel-Aligned Non-parametric Hand Mesh Reconstruction
Shijian Jiang
Guwen Han
Danhang Tang
Yang Zhou
Xiang Li
Jiming Chen
Qi Ye
3DH
198
0
0
17 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention
  Networks for Semi-supervised Learning
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning
Tiantian He
Haicang Zhou
Yew-Soon Ong
Gao Cong
GNN
274
8
0
14 Oct 2022
Learning Multi-resolution Functional Maps with Spectral Attention for
  Robust Shape Matching
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape MatchingNeural Information Processing Systems (NeurIPS), 2022
Lei Li
Nicolas Donati
M. Ovsjanikov
277
44
0
12 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information
Uplifting Message Passing Neural Network with Graph Original Information
Xiao Liu
Lijun Zhang
Hui Guan
GNN
171
4
0
08 Oct 2022
MAtt: A Manifold Attention Network for EEG Decoding
MAtt: A Manifold Attention Network for EEG DecodingNeural Information Processing Systems (NeurIPS), 2022
Yue Pan
Jing-Lun Chou
Chunshan Wei
145
62
0
05 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs
Gradient Gating for Deep Multi-Rate Learning on GraphsInternational Conference on Learning Representations (ICLR), 2022
T. Konstantin Rusch
B. Chamberlain
Michael W. Mahoney
Michael M. Bronstein
Siddhartha Mishra
392
70
0
02 Oct 2022
Convolutional Neural Networks on Manifolds: From Graphs and Back
Convolutional Neural Networks on Manifolds: From Graphs and BackAsilomar Conference on Signals, Systems and Computers (ACSSC), 2022
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
3DPCGNN
244
15
0
01 Oct 2022
Towards General-Purpose Representation Learning of Polygonal Geometries
Towards General-Purpose Representation Learning of Polygonal Geometries
Gengchen Mai
C. Jiang
Weiwei Sun
Rui Zhu
Yao Xuan
Ling Cai
K. Janowicz
Stefano Ermon
Ni Lao
183
48
0
29 Sep 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Phy-Taylor: Physics-Model-Based Deep Neural Networks
Y. Mao
L. Sha
Huajie Shao
Yuliang Gu
Qixin Wang
Tarek Abdelzaher
PINNAI4CE
261
1
0
27 Sep 2022
A Survey on Graph Neural Networks and Graph Transformers in Computer
  Vision: A Task-Oriented Perspective
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented PerspectiveIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Chaoqi Chen
Yushuang Wu
Qiyuan Dai
Hong-Yu Zhou
Mutian Xu
Sibei Yang
Xiaoguang Han
Yizhou Yu
ViTMedImAI4CE
379
130
0
27 Sep 2022
A Simple Strategy to Provable Invariance via Orbit Mapping
A Simple Strategy to Provable Invariance via Orbit MappingAsian Conference on Computer Vision (ACCV), 2022
Kanchana Vaishnavi Gandikota
Jonas Geiping
Zorah Lähner
Adam Czapliñski
Michael Moeller
AAML3DPC
234
4
0
24 Sep 2022
Dynamic Graph Message Passing Networks for Visual Recognition
Dynamic Graph Message Passing Networks for Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Li Zhang
Mohan Chen
Anurag Arnab
Xiangyang Xue
Juil Sock
GNN
173
1
0
20 Sep 2022
Neural Graph Databases
Neural Graph DatabasesLOG IN (LOG IN), 2022
Maciej Besta
Patrick Iff
Florian Scheidl
Kazuki Osawa
Nikoli Dryden
Michal Podstawski
Tiancheng Chen
Torsten Hoefler
AI4CE
190
11
0
20 Sep 2022
Learning Canonical Embeddings for Unsupervised Shape Correspondence with
  Locally Linear Transformations
Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear TransformationsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Pan He
Patrick Emami
Sanjay Ranka
Anand Rangarajan
3DPC
204
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
239
15
0
23 Aug 2022
Hierarchically Decomposed Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2022
Junghoon Lee
Minhyeok Lee
Dogyoon Lee
Sangyoon Lee
BDL
274
203
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
191
10
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
98
5
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
116
19
0
09 Aug 2022
Graph neural networks for materials science and chemistry
Graph neural networks for materials science and chemistryCommunications Materials (Commun. Mater.), 2022
Patrick Reiser
Marlen Neubert
André Eberhard
Luca Torresi
Chen Zhou
...
Houssam Metni
Clint van Hoesel
Henrik Schopmans
T. Sommer
Pascal Friederich
GNNAI4CE
344
594
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 LearningEuropean Conference on Computer Vision (ECCV), 2022
Tze Ho Elden Tse
Zhongqun Zhang
K. Kim
A. Leonardis
Feng Zheng
H. Chang
3DH
176
8
0
01 Aug 2022
Neural network layers as parametric spans
Neural network layers as parametric spans
M. Bergomi
Pietro Vertechi
AI4CE
137
3
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 ApproachIEEE International Joint Conference on Neural Network (IJCNN), 2022
P. Saikia
Kshitij Gundale
A. Jain
Dev Jadeja
Harvi Patel
Mohendra Roy
GNN
92
12
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
108
0
0
26 Jul 2022
Unsupervised Deep Multi-Shape Matching
Unsupervised Deep Multi-Shape MatchingEuropean Conference on Computer Vision (ECCV), 2022
Dongliang Cao
Florian Bernard
3DPC3DV
254
44
0
20 Jul 2022
pathGCN: Learning General Graph Spatial Operators from Paths
pathGCN: Learning General Graph Spatial Operators from PathsInternational Conference on Machine Learning (ICML), 2022
Moshe Eliasof
E. Haber
Eran Treister
3DPCGNN
123
33
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 NetworksPattern Recognition (Pattern Recogn.), 2022
Yuan Xu
Dong Huang
Changdong Wang
Jianhuang Lai
SSL
227
34
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 VideoEuropean Conference on Computer Vision (ECCV), 2022
Eitan Kosman
Dotan Di Castro
GNN
234
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 ArchitectureInternational Conference on Field-Programmable Logic and Applications (FPL), 2022
Chengming Zhang
Tong Geng
Anqi Guo
Jiannan Tian
Martin C. Herbordt
Ang Li
Dingwen Tao
GNN
158
36
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
96
0
0
27 Jun 2022
Ordered Subgraph Aggregation Networks
Ordered Subgraph Aggregation NetworksNeural Information Processing Systems (NeurIPS), 2022
Chao Qian
Gaurav Rattan
Floris Geerts
Christopher Morris
Mathias Niepert
338
69
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 GNNsNeural Information Processing Systems (NeurIPS), 2022
Seiji Maekawa
Koki Noda
Yuya Sasaki
Makoto Onizuka
372
30
0
18 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark
GOOD: A Graph Out-of-Distribution BenchmarkNeural Information Processing Systems (NeurIPS), 2022
Shurui Gui
Xiner Li
Limei Wang
Shuiwang Ji
OOD
330
153
0
16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Let Invariant Rationale Discovery Inspire Graph Contrastive LearningInternational Conference on Machine Learning (ICML), 2022
Changhao Nai
Xiang Wang
An Zhang
Y. Wu
Xiangnan He
Tat-Seng Chua
246
111
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 ImagesIEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022
Yiqing Shen
Bingxin Zhou
Xinye Xiong
Ruitian Gao
Yu Guang Wang
GNNMedIm
142
7
0
15 Jun 2022
A Deep Generative Model of Neonatal Cortical Surface Development
A Deep Generative Model of Neonatal Cortical Surface DevelopmentAnnual Conference on Medical Image Understanding and Analysis (MIUA), 2022
Abdulah Fawaz
Logan Z. J. Williams
A. Edwards
E. C. Robinson
MedIm
166
3
0
15 Jun 2022
Parameter Convex Neural Networks
Parameter Convex Neural Networks
Jingcheng Zhou
Wei Wei
Xing Li
Bowen Pang
Zhiming Zheng
77
1
0
11 Jun 2022
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Yuelin Wang
Kai Yi
Xinliang Liu
Yu Guang Wang
Shi Jin
308
43
0
11 Jun 2022
AGConv: Adaptive Graph Convolution on 3D Point Clouds
AGConv: Adaptive Graph Convolution on 3D Point CloudsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Mingqiang Wei
Zeyong Wei
Hao Zhou
Fei-Jiang Hu
Huajian Si
...
Jingbo Qiu
Xu Yan
Yan Guo
Jun Wang
J. Qin
3DPC
232
67
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
165
2
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
166
3
0
31 May 2022
Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2022
Itay Eilat
Ben Finkelshtein
Chaim Baskin
Nir Rosenfeld
352
13
0
31 May 2022
Automatic Relation-aware Graph Network Proliferation
Automatic Relation-aware Graph Network ProliferationComputer Vision and Pattern Recognition (CVPR), 2022
Shaofei Cai
Liang Li
Xinzhe Han
Jiebo Luo
Zhengjun Zha
Qingming Huang
GNN
129
8
0
31 May 2022
Personalized PageRank Graph Attention Networks
Personalized PageRank Graph Attention NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Julie Choi
GNN
80
8
0
27 May 2022
Capturing Graphs with Hypo-Elliptic Diffusions
Capturing Graphs with Hypo-Elliptic DiffusionsNeural Information Processing Systems (NeurIPS), 2022
Csaba Tóth
Darrick Lee
Celia Hacker
Harald Oberhauser
248
14
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Your Transformer May Not be as Powerful as You Expect
Your Transformer May Not be as Powerful as You ExpectNeural Information Processing Systems (NeurIPS), 2022
Shengjie Luo
Shanda Li
Shuxin Zheng
Tie-Yan Liu
Liwei Wang
Di He
289
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26 May 2022
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAM
Loop Closure Prioritization for Efficient and Scalable Multi-Robot SLAMIEEE Robotics and Automation Letters (RA-L), 2022
Chris Denniston
Yun Chang
Andrzej Reinke
K. Ebadi
Gaurav Sukhatme
Luca Carlone
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Ali-akbar Agha-mohammadi
222
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High-Order Pooling for Graph Neural Networks with Tensor Decomposition
High-Order Pooling for Graph Neural Networks with Tensor DecompositionNeural Information Processing Systems (NeurIPS), 2022
Chenqing Hua
Guillaume Rabusseau
Jian Tang
186
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0
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