ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1611.08402
  4. Cited By
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
Derivative-Informed Projected Neural Networks for High-Dimensional
  Parametric Maps Governed by PDEs
Derivative-Informed Projected Neural Networks for High-Dimensional Parametric Maps Governed by PDEsComputer Methods in Applied Mechanics and Engineering (CMAME), 2020
Thomas O'Leary-Roseberry
Umberto Villa
Peng Chen
Omar Ghattas
328
79
0
30 Nov 2020
Learning geometry-image representation for 3D point cloud generation
Learning geometry-image representation for 3D point cloud generation
Lei Wang
Yuchun Huang
Pengjie Tao
Yaolin Hou
Yuxuan Liu
3DPC
113
4
0
29 Nov 2020
Spatio-Temporal Inception Graph Convolutional Networks for
  Skeleton-Based Action Recognition
Spatio-Temporal Inception Graph Convolutional Networks for Skeleton-Based Action RecognitionACM Multimedia (ACM MM), 2020
Zhen Huang
Xu Shen
Xinmei Tian
Houqiang Li
Jianqiang Huang
Xiansheng Hua
GNN
291
66
0
26 Nov 2020
Multi-Features Guidance Network for partial-to-partial point cloud
  registration
Multi-Features Guidance Network for partial-to-partial point cloud registration
Hongyuan Wang
Xiang Liu
Wen Kang
Zhiqiang Yan
Bingwen Wang
Qianhao Ning
3DPC
171
19
0
24 Nov 2020
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of
  Graph Neural Networks
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural NetworksIEEE Transactions on Visualization and Computer Graphics (TVCG), 2020
Zhihua Jin
Yong Wang
Qianwen Wang
Yao Ming
Tengfei Ma
Huamin Qu
HAI
507
43
0
22 Nov 2020
Statistical learning for change point and anomaly detection in graphs
Statistical learning for change point and anomaly detection in graphs
A. Malinovskaya
Philipp Otto
T. Peters
114
2
0
10 Nov 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
Deep Shells: Unsupervised Shape Correspondence with Optimal TransportNeural Information Processing Systems (NeurIPS), 2020
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Zorah Lähner
OT3DPC
234
97
0
28 Oct 2020
Revisiting convolutional neural network on graphs with polynomial
  approximations of Laplace-Beltrami spectral filtering
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
Shih-Gu Huang
M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
169
15
0
26 Oct 2020
Co-embedding of Nodes and Edges with Graph Neural Networks
Co-embedding of Nodes and Edges with Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Xiaodong Jiang
Ronghang Zhu
Pengsheng Ji
Sheng Li
GNN
200
97
0
25 Oct 2020
Unsupervised Dense Shape Correspondence using Heat Kernels
Unsupervised Dense Shape Correspondence using Heat KernelsInternational Conference on 3D Vision (3DV), 2020
Mehmet Aygün
Zorah Lähner
Zorah Lähner
170
20
0
23 Oct 2020
Primal-Dual Mesh Convolutional Neural Networks
Primal-Dual Mesh Convolutional Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Francesco Milano
Antonio Loquercio
Antoni Rosinol
Davide Scaramuzza
Luca Carlone
3DPCAI4CE
221
105
0
23 Oct 2020
Deep Neural Mobile Networking
Deep Neural Mobile Networking
Chaoyun Zhang
208
2
0
23 Oct 2020
Temporal Attention-Augmented Graph Convolutional Network for Efficient
  Skeleton-Based Human Action Recognition
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action RecognitionInternational Conference on Pattern Recognition (ICPR), 2020
Negar Heidari
Alexandros Iosifidis
GNN
320
36
0
23 Oct 2020
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D
  Dense Shape Correspondence
3D Meta Point Signature: Learning to Learn 3D Point Signature for 3D Dense Shape Correspondence
Niraj Pudasaini
Lingjing Wang
Xiang Li
Yi Fang
3DPC
152
0
0
21 Oct 2020
Probabilistic Numeric Convolutional Neural Networks
Probabilistic Numeric Convolutional Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Marc Finzi
Roberto Bondesan
Max Welling
BDLAI4TS
230
13
0
21 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Anisotropic Graph Convolutional Network for Semi-supervised LearningIEEE transactions on multimedia (TMM), 2020
Mahsa Mesgaran
Abdessamad BenHamza
146
12
0
20 Oct 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud RegistrationInternational Conference on 3D Vision (3DV), 2020
Mahdi Saleh
Shervin Dehghani
Benjamin Busam
Nassir Navab
Federico Tombari
3DPC
160
16
0
18 Oct 2020
Pose Refinement Graph Convolutional Network for Skeleton-based Action
  Recognition
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
Shijie Li
Jinhui Yi
Yazan Abu Farha
Juergen Gall
139
38
0
14 Oct 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
163
4
0
14 Oct 2020
Factorizable Graph Convolutional Networks
Factorizable Graph Convolutional Networks
Yiding Yang
Zunlei Feng
Xiuming Zhang
Xinchao Wang
GNN
236
164
0
12 Oct 2020
Directional Graph Networks
Directional Graph Networks
Dominique Beaini
Saro Passaro
Vincent Létourneau
William L. Hamilton
Gabriele Corso
Pietro Lio
474
213
0
06 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
A Unified View on Graph Neural Networks as Graph Signal DenoisingInternational Conference on Information and Knowledge Management (CIKM), 2020
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Shucheng Zhou
Neil Shah
AI4CE
304
197
0
05 Oct 2020
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D
  Shape Retrieval
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval
Rao Fu
Jie Yang
Jiawei Sun
Fang-Lue Zhang
Yu-kun Lai
Lin Gao
3DV3DPC3DH
214
3
0
02 Oct 2020
Cell Complex Neural Networks
Cell Complex Neural Networks
Pavlo Vasylenko
Kyle Istvan
Ghada Zamzmi
351
72
0
02 Oct 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural
  Networks in the Context of Regularization Theory
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim
S. Sumitra
GNN
105
3
0
29 Sep 2020
Semi-Supervised Node Classification by Graph Convolutional Networks and
  Extracted Side Information
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information
Mohammadjafar Esmaeili
Aria Nosratinia
GNN
169
1
0
29 Sep 2020
Weakly Supervised Deep Functional Map for Shape Matching
Weakly Supervised Deep Functional Map for Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DPCOOD
140
14
0
28 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Learning Graph Normalization for Graph Neural NetworksNeurocomputing (Neurocomputing), 2020
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
193
57
0
24 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning
  for Hyperspectral Image Classification
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie Yang
Zhiqiang Wang
124
3
0
19 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for
  unsupervised graph representation learning
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
171
61
0
15 Sep 2020
3D Facial Matching by Spiral Convolutional Metric Learning and a
  Biometric Fusion-Net of Demographic Properties
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic PropertiesInternational Conference on Pattern Recognition (ICPR), 2020
S. Mahdi
N. Nauwelaers
P. Joris
Giorgos Bouritsas
Shunwang Gong
...
Susan Walsh
M. Shriver
M. Bronstein
P. Claes
.
3DH
206
5
0
10 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network
  Training
GraphNorm: A Principled Approach to Accelerating Graph Neural Network TrainingInternational Conference on Machine Learning (ICML), 2020
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
276
202
0
07 Sep 2020
Deep Modeling of Growth Trajectories for Longitudinal Prediction of
  Missing Infant Cortical Surfaces
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical SurfacesInformation Processing in Medical Imaging (IPMI), 2019
Peirong Liu
Zhengwang Wu
Gang Li
P. Yap
Dinggang Shen
137
6
0
06 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with
  Stochastic Message Passing
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message PassingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
150
3
0
05 Sep 2020
A curvature and density-based generative representation of shapes
A curvature and density-based generative representation of shapes
Zi Ye
Nobuyuki Umetani
Takeo Igarashi
T. Hoffmann
123
5
0
05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
LFGCN: Levitating over Graphs with Levy FlightsIndustrial Conference on Data Mining (IDM), 2020
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
165
8
0
04 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling
  to Deep Learning
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning
Stefan C. Schonsheck
148
0
0
03 Sep 2020
Distinctive 3D local deep descriptors
Distinctive 3D local deep descriptorsInternational Conference on Pattern Recognition (ICPR), 2020
Fabio Poiesi
Davide Boscaini
3DPC
272
62
0
01 Sep 2020
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding
  Boxes and LSTM Autoencoders
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM AutoencodersInternational Conference on Artificial Neural Networks (ICANN), 2020
Sara Hahner
Rodrigo Iza-Teran
Jochen Garcke
AI4CE
143
9
0
31 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of
  State-of-the-Art
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
548
5
0
26 Aug 2020
Training Matters: Unlocking Potentials of Deeper Graph Convolutional
  Neural Networks
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
201
10
0
20 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Degree-Quant: Quantization-Aware Training for Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
Shyam A. Tailor
Javier Fernandez-Marques
Nicholas D. Lane
GNNMQ
322
172
0
11 Aug 2020
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning
  in Visual Dialogue
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual DialogueACM Multimedia (ACM MM), 2020
X. Jiang
Siyi Du
Zengchang Qin
Yajing Sun
Jiahao Yu
269
39
0
11 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and
  Applications
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
353
69
0
05 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng
Zichen Miao
Qiang Qiu
GNN
165
0
0
04 Aug 2020
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance
  Discrimination
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang
Yuqi Yang
Qian-Fang Zou
Zhirong Wu
Yang Liu
Xin Tong
3DPC
209
53
0
03 Aug 2020
Graph signal processing for machine learning: A review and new
  perspectives
Graph signal processing for machine learning: A review and new perspectivesIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
254
198
0
31 Jul 2020
Rethinking PointNet Embedding for Faster and Compact Model
Rethinking PointNet Embedding for Faster and Compact ModelInternational Conference on 3D Vision (3DV), 2020
Teppei Suzuki
Keisuke Ozawa
Yusuke Sekikawa
3DPC3DV
176
5
0
31 Jul 2020
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action
  Recognition
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action RecognitionACM Multimedia (ACM MM), 2020
Wei Peng
Jingang Shi
Zhaoqiang Xia
Guoying Zhao
GNN
198
64
0
30 Jul 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised
  Learning
Graph Convolutional Networks using Heat Kernel for Semi-supervised LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Xueqi Cheng
183
173
0
27 Jul 2020
Previous
123...91011...161718
Next
Page 10 of 18
Pageof 18