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Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on
  Graphs

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017
M. Simonovsky
N. Komodakis
    GNN
ArXivPDFHTML

Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

50 / 518 papers shown
Title
Unsupervised Learning of 3D Semantic Keypoints with Mutual
  Reconstruction
Unsupervised Learning of 3D Semantic Keypoints with Mutual Reconstruction
Haocheng Yuan
Chen Zhao
Shichao Fan
Jiaxi Jiang
Jiaqi Yang
3DV
3DPC
19
5
0
19 Mar 2022
Incorporating Heterophily into Graph Neural Networks for Graph
  Classification
Incorporating Heterophily into Graph Neural Networks for Graph Classification
Jiayi Yang
Sourav Medya
Wei Ye
38
4
0
15 Mar 2022
Neural Message Passing for Objective-Based Uncertainty Quantification
  and Optimal Experimental Design
Neural Message Passing for Objective-Based Uncertainty Quantification and Optimal Experimental Design
Qihua Chen
Xuejin Chen
Hyun-Myung Woo
Byung-Jun Yoon
23
2
0
14 Mar 2022
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review
Abolfazl Razi
Xiwen Chen
Huayu Li
Hao Wang
Brendan J. Russo
Yan Chen
Hongbin Yu
38
40
0
07 Mar 2022
SoftGroup for 3D Instance Segmentation on Point Clouds
SoftGroup for 3D Instance Segmentation on Point Clouds
Thang Vu
Kookhoi Kim
Tung M. Luu
Xuan Thanh Nguyen
Chang D. Yoo
3DPC
45
238
0
03 Mar 2022
A Unified Query-based Paradigm for Point Cloud Understanding
A Unified Query-based Paradigm for Point Cloud Understanding
Zetong Yang
Li Jiang
Yanan Sun
Bernt Schiele
Jiaya Jia
3DPC
30
38
0
02 Mar 2022
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
3DCTN: 3D Convolution-Transformer Network for Point Cloud Classification
Dening Lu
Qian Xie
Linlin Xu
Jonathan Li
3DV
28
68
0
02 Mar 2022
Distribution Preserving Graph Representation Learning
Distribution Preserving Graph Representation Learning
Chengsheng Mao
Yuan Luo
29
0
0
27 Feb 2022
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for
  Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations
Neng Shi
Jiayi Xu
Skylar W. Wurster
Hanqi Guo
J. Woodring
L. V. Roekel
Han-Wei Shen
AI4TS
AI4CE
42
32
0
18 Feb 2022
Graph Convolutional Networks for Multi-modality Medical Imaging:
  Methods, Architectures, and Clinical Applications
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
Kexin Ding
Mu Zhou
Zichen Wang
Qiao Liu
C. Arnold
Shaoting Zhang
Dimitris N. Metaxas
GNN
MedIm
AI4CE
38
12
0
17 Feb 2022
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud Attacks
Q. Hu
Daizong Liu
Wei Hu
AAML
3DPC
33
21
0
15 Feb 2022
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Benchmarking and Analyzing Point Cloud Classification under Corruptions
Jiawei Ren
Liang Pan
Ziwei Liu
3DPC
30
80
0
07 Feb 2022
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban
  Meshes
PSSNet: Planarity-sensible Semantic Segmentation of Large-scale Urban Meshes
Weixiao Gao
Liangliang Nan
B. Boom
H. Ledoux
3DPC
24
24
0
07 Feb 2022
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with
  Deep Learning
Predicting Vegetation Stratum Occupancy from Airborne LiDAR Data with Deep Learning
E. Kalinicheva
Loic Landrieu
Clement Mallet
N. Chehata
3DPC
AI4CE
35
5
0
20 Jan 2022
GASCN: Graph Attention Shape Completion Network
GASCN: Graph Attention Shape Completion Network
Haojie Huang
Ziyi Yang
Robert Platt
GNN
3DPC
27
6
0
20 Jan 2022
Graph Neural Networks for Multivariate Time Series Regression with
  Application to Seismic Data
Graph Neural Networks for Multivariate Time Series Regression with Application to Seismic Data
Stefan Bloemheuvel
Jurgen van den Hoogen
Dario Jozinović
A. Michelini
Martin Atzmueller
AI4TS
18
45
0
03 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels
Aosong Feng
Chenyu You
Shiqiang Wang
Leandros Tassiulas
GNN
15
78
0
03 Jan 2022
Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph
  Reinforcement Learning
Large-scale Machine Learning Cluster Scheduling via Multi-agent Graph Reinforcement Learning
Xiaoyang Zhao
Chuan Wu
11
15
0
26 Dec 2021
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using
  Graph Information
Deep Reinforcement Learning for Optimal Power Flow with Renewables Using Graph Information
Jinhao Li
Ruichang Zhang
Hao Wang
Zhi Liu
Hongyang Lai
Yanru Zhang
25
6
0
22 Dec 2021
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
Sung Une Lee
Boming Xia
Yongan Zhang
Ang Li
Yingyan Lin
GNN
62
48
0
22 Dec 2021
Weisfeiler and Leman go Machine Learning: The Story so far
Weisfeiler and Leman go Machine Learning: The Story so far
Christopher Morris
Y. Lipman
Haggai Maron
Bastian Rieck
Nils M. Kriege
Martin Grohe
Matthias Fey
Karsten Borgwardt
GNN
54
114
0
18 Dec 2021
Graph Kernel Neural Networks
Graph Kernel Neural Networks
Luca Cosmo
G. Minello
Alessandro Bicciato
M. Bronstein
Emanuele Rodolà
Luca Rossi
A. Torsello
GNN
46
20
0
14 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks
A New Perspective on the Effects of Spectrum in Graph Neural Networks
Mingqi Yang
Yanming Shen
Rui Li
Heng Qi
Qian Zhang
Baocai Yin
GNN
15
27
0
14 Dec 2021
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis
Shuyang Cheng
Xiwu Chen
Xinwei He
Zhe Liu
X. Bai
3DPC
39
136
0
09 Dec 2021
Mesh Convolution with Continuous Filters for 3D Surface Parsing
Mesh Convolution with Continuous Filters for 3D Surface Parsing
Huan Lei
Naveed Akhtar
M. Shah
Ajmal Mian
3DPC
38
10
0
03 Dec 2021
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Structure-Aware Multi-Hop Graph Convolution for Graph Neural Networks
Yang Li
Yuichi Tanaka
21
3
0
03 Dec 2021
CloudWalker: Random walks for 3D point cloud shape analysis
CloudWalker: Random walks for 3D point cloud shape analysis
Adi Mesika
Yizhak Ben-Shabat
A. Tal
3DPC
27
9
0
02 Dec 2021
CT-block: a novel local and global features extractor for point cloud
CT-block: a novel local and global features extractor for point cloud
Shangwei Guo
Jun Li
Zhengchao Lai
Xiantong Meng
Shaokun Han
ViT
3DPC
27
2
0
30 Nov 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image
Joshua Mitton
Chaitanya Kaul
Roderick Murray-Smith
3DH
20
0
0
25 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph
  Classification
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification
Siddhant Doshi
S. Chepuri
GNN
30
4
0
22 Nov 2021
PointMixer: MLP-Mixer for Point Cloud Understanding
PointMixer: MLP-Mixer for Point Cloud Understanding
Jaesung Choe
Chunghyun Park
François Rameau
Jaesik Park
In So Kweon
3DPC
45
98
0
22 Nov 2021
CpT: Convolutional Point Transformer for 3D Point Cloud Processing
CpT: Convolutional Point Transformer for 3D Point Cloud Processing
Chaitanya Kaul
Joshua Mitton
H. Dai
Roderick Murray-Smith
3DPC
33
6
0
21 Nov 2021
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point
  Clouds
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds
R. Wiersma
Ahmad Nasikun
E. Eisemann
Klaus Hildebrandt
3DPC
24
16
0
16 Nov 2021
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure
  Preservation
Graph Transplant: Node Saliency-Guided Graph Mixup with Local Structure Preservation
Joonhyung Park
Hajin Shim
Eunho Yang
79
49
0
10 Nov 2021
Dense Representative Tooth Landmark/axis Detection Network on 3D Model
Dense Representative Tooth Landmark/axis Detection Network on 3D Model
Guangshun Wei
Zhiming Cui
Jie Zhu
Lei Yang
Yuanfeng Zhou
Pradeep Singh
Min Gu
Wenping Wang
22
9
0
08 Nov 2021
Power Flow Balancing with Decentralized Graph Neural Networks
Power Flow Balancing with Decentralized Graph Neural Networks
Jonas Berg Hansen
S. N. Anfinsen
F. Bianchi
31
34
0
03 Nov 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
26
32
0
28 Oct 2021
Learning Graph Cellular Automata
Learning Graph Cellular Automata
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
13
30
0
27 Oct 2021
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point
  Cloud Representation Learning
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning
Guocheng Qian
Hasan Hammoud
Guohao Li
Ali K. Thabet
Guohao Li
3DPC
31
72
0
20 Oct 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
126
115
0
15 Oct 2021
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel
  Sizes
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
Robert-Jan Bruintjes
Jakub M. Tomczak
Erik J. Bekkers
Mark Hoogendoorn
Jan van Gemert
87
82
0
15 Oct 2021
Unsupervised Contrastive Learning with Simple Transformation for 3D
  Point Cloud Data
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data
Jincen Jiang
Xuequan Lu
Wanli Ouyang
Meiling Wang
3DPC
27
7
0
13 Oct 2021
Understanding Pooling in Graph Neural Networks
Understanding Pooling in Graph Neural Networks
Daniele Grattarola
Daniele Zambon
F. Bianchi
Cesare Alippi
GNN
FAtt
AI4CE
35
91
0
11 Oct 2021
Learning 3D Representations of Molecular Chirality with Invariance to
  Bond Rotations
Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations
Keir Adams
L. Pattanaik
Connor W. Coley
51
32
0
08 Oct 2021
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain
  Graph Alignment and Synthesis
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis
Islem Mhiri
Mohamed Ali Mahjoub
I. Rekik
MedIm
19
4
0
06 Oct 2021
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph
  Evaluation Trajectory
Recurrent Brain Graph Mapper for Predicting Time-Dependent Brain Graph Evaluation Trajectory
Alpay Tekin
Ahmed Nebli
I. Rekik
14
4
0
06 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations
Permute Me Softly: Learning Soft Permutations for Graph Representations
Giannis Nikolentzos
George Dasoulas
Michalis Vazirgiannis
GNN
41
9
0
05 Oct 2021
Reconstruction for Powerful Graph Representations
Reconstruction for Powerful Graph Representations
Leonardo Cotta
Christopher Morris
Bruno Ribeiro
AI4CE
134
78
0
01 Oct 2021
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic
  Segmentation
SPNet: Multi-Shell Kernel Convolution for Point Cloud Semantic Segmentation
Yu-yang Li
Chuanmao Fan
Xu Wang
Ye Duan
3DPC
35
4
0
23 Sep 2021
Multi-resolution deep learning pipeline for dense large scale point
  clouds
Multi-resolution deep learning pipeline for dense large scale point clouds
T. Richard
F. Dupont
Guillaume Lavoué
3DPC
24
0
0
23 Sep 2021
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