Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1611.08402
Cited By
v1
v2
v3 (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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Geometric deep learning on graphs and manifolds using mixture model CNNs"
50 / 847 papers shown
Title
Anisotropic Graph Convolutional Network for Semi-supervised Learning
Mahsa Mesgaran
Abdessamad BenHamza
69
11
0
20 Oct 2020
Graphite: GRAPH-Induced feaTure Extraction for Point Cloud Registration
Mahdi Saleh
Shervin Dehghani
Benjamin Busam
Nassir Navab
Federico Tombari
3DPC
83
14
0
18 Oct 2020
Pose Refinement Graph Convolutional Network for Skeleton-based Action Recognition
Shijie Li
Jinhui Yi
Yazan Abu Farha
Juergen Gall
50
36
0
14 Oct 2020
PointManifold: Using Manifold Learning for Point Cloud Classification
Dinghao Yang
Wei Gao
3DPC
41
4
0
14 Oct 2020
Factorizable Graph Convolutional Networks
Yiding Yang
Zunlei Feng
Xiuming Zhang
Xinchao Wang
GNN
96
147
0
12 Oct 2020
Directional Graph Networks
Dominique Beaini
Saro Passaro
Vincent Létourneau
William L. Hamilton
Gabriele Corso
Pietro Lio
105
193
0
06 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
AI4CE
118
177
0
05 Oct 2020
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
3DV
3DPC
3DH
86
3
0
02 Oct 2020
Cell Complex Neural Networks
Mustafa Hajij
Kyle Istvan
Ghada Zamzmi
127
61
0
02 Oct 2020
Framework for Designing Filters of Spectral Graph Convolutional Neural Networks in the Context of Regularization Theory
Asif Salim
S. Sumitra
GNN
35
3
0
29 Sep 2020
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information
Mohammadjafar Esmaeili
Aria Nosratinia
GNN
70
1
0
29 Sep 2020
Weakly Supervised Deep Functional Map for Shape Matching
Abhishek Sharma
M. Ovsjanikov
3DPC
OOD
66
12
0
28 Sep 2020
Learning Graph Normalization for Graph Neural Networks
Yihao Chen
Xin Tang
Xianbiao Qi
Chun-Guang Li
Rong Xiao
AI4CE
116
50
0
24 Sep 2020
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification
Sheng Wan
Chen Gong
Shirui Pan
Jie Yang
Jian Yang
49
3
0
19 Sep 2020
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
Costas Mavromatis
George Karypis
69
55
0
15 Sep 2020
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
S. Mahdi
N. Nauwelaers
P. Joris
Giorgos Bouritsas
Shunwang Gong
...
Susan Walsh
M. Shriver
M. Bronstein
P. Claes
.
3DH
62
5
0
10 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training
Tianle Cai
Shengjie Luo
Keyulu Xu
Di He
Tie-Yan Liu
Liwei Wang
GNN
104
167
0
07 Sep 2020
Deep Modeling of Growth Trajectories for Longitudinal Prediction of Missing Infant Cortical Surfaces
Peirong Liu
Zhengwang Wu
Gang Li
P. Yap
Dinggang Shen
47
4
0
06 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
68
2
0
05 Sep 2020
A curvature and density-based generative representation of shapes
Zi Ye
Nobuyuki Umetani
Takeo Igarashi
T. Hoffmann
46
5
0
05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
Konstantin Avrachenkov
45
7
0
04 Sep 2020
Computational Analysis of Deformable Manifolds: from Geometric Modelling to Deep Learning
Stefan C. Schonsheck
37
0
0
03 Sep 2020
Distinctive 3D local deep descriptors
Fabio Poiesi
Davide Boscaini
3DPC
82
49
0
01 Sep 2020
Analysis and Prediction of Deforming 3D Shapes using Oriented Bounding Boxes and LSTM Autoencoders
Sara Hahner
Rodrigo Iza-Teran
Jochen Garcke
AI4CE
54
6
0
31 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art
Yun Peng
Byron Choi
Jianliang Xu
186
5
0
26 Aug 2020
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Xiao-Wen Chang
Doina Precup
GNN
64
10
0
20 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Shyam A. Tailor
Javier Fernandez-Marques
Nicholas D. Lane
GNN
MQ
73
145
0
11 Aug 2020
KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue
X. Jiang
Siyi Du
Zengchang Qin
Yajing Sun
Jiahao Yu
91
37
0
11 Aug 2020
Graph Signal Processing for Geometric Data and Beyond: Theory and Applications
Wei Hu
Jiahao Pang
Xianming Liu
Dong Tian
Chia-Wen Lin
A. Vetro
96
63
0
05 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng
Zichen Miao
Qiang Qiu
GNN
33
0
0
04 Aug 2020
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
76
52
0
03 Aug 2020
Graph signal processing for machine learning: A review and new perspectives
Xiaowen Dong
D. Thanou
Laura Toni
M. Bronstein
P. Frossard
94
168
0
31 Jul 2020
Rethinking PointNet Embedding for Faster and Compact Model
Teppei Suzuki
Keisuke Ozawa
Yusuke Sekikawa
3DPC
3DV
59
4
0
31 Jul 2020
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition
Wei Peng
Jingang Shi
Zhaoqiang Xia
Guoying Zhao
GNN
90
61
0
30 Jul 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
Bingbing Xu
Huawei Shen
Qi Cao
Keting Cen
Xueqi Cheng
66
156
0
27 Jul 2020
Label-Consistency based Graph Neural Networks for Semi-supervised Node Classification
Bingbing Xu
Junjie Huang
Liang Hou
Huawei Shen
Jinhua Gao
Xueqi Cheng
51
41
0
27 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning
Xuebin Zheng
Bingxin Zhou
Ming Li
Yu Guang Wang
Junbin Gao
72
2
0
22 Jul 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation
Roman Klokov
Edmond Boyer
Jakob Verbeek
3DPC
89
107
0
20 Jul 2020
GarNet++: Improving Fast and Accurate Static3D Cloth Draping by Curvature Loss
Erhan Gundogdu
Victor Constantin
Shaifali Parashar
Amrollah Seifoddini
Minh Dang
Mathieu Salzmann
Pascal Fua
3DH
124
43
0
20 Jul 2020
Learning to Generate Customized Dynamic 3D Facial Expressions
Rolandos Alexandros Potamias
Jiali Zheng
Stylianos Ploumpis
Giorgos Bouritsas
Evangelos Ververas
Stefanos Zafeiriou
3DH
112
22
0
19 Jul 2020
Towards Deeper Graph Neural Networks
Meng Liu
Hongyang Gao
Shuiwang Ji
GNN
AI4CE
130
611
0
18 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs
Christopher Morris
Nils M. Kriege
Franka Bause
Kristian Kersting
Petra Mutzel
Marion Neumann
281
830
0
16 Jul 2020
Graph topology inference benchmarks for machine learning
Carlos Lassance
Vincent Gripon
Gonzalo Mateos
95
4
0
16 Jul 2020
Deep Graph Library Optimizations for Intel(R) x86 Architecture
Sasikanth Avancha
Md. Vasimuddin
Sanchit Misra
Ramanarayan Mohanty
GNN
AI4CE
45
4
0
13 Jul 2020
Progressive Point Cloud Deconvolution Generation Network
Le Hui
Rui Xu
Jin Xie
J. Qian
Jian Yang
3DPC
59
72
0
10 Jul 2020
Node Copying for Protection Against Graph Neural Network Topology Attacks
Florence Regol
Soumyasundar Pal
Mark Coates
AAML
GNN
112
1
0
09 Jul 2020
JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image
Linpu Fang
Xingyan Liu
Li Liu
Hang Xu
Wenxiong Kang
3DH
98
47
0
09 Jul 2020
Pre-Trained Models for Heterogeneous Information Networks
Yang Fang
Xiang Zhao
Yifan Chen
W. Xiao
Maarten de Rijke
SSL
47
1
0
07 Jul 2020
Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata
S. Kaji
Akihiro Yoshida
Katsuki Fujisawa
43
3
0
04 Jul 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
Songyang Zhang
Han Zhang
Shuguang Cui
Zhi Ding
GNN
48
1
0
01 Jul 2020
Previous
1
2
3
...
9
10
11
...
15
16
17
Next