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
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for
  regression of physical problems under non-parameterized geometrical
  variability
MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variabilityNeural Information Processing Systems (NeurIPS), 2023
F. Casenave
B. Staber
Xavier Roynard
AI4CE
229
20
0
22 May 2023
A graph convolutional autoencoder approach to model order reduction for
  parametrized PDEs
A graph convolutional autoencoder approach to model order reduction for parametrized PDEsJournal of Computational Physics (JCP), 2023
F. Pichi
B. Moya
J. Hesthaven
AI4CE
306
76
0
15 May 2023
Neural Face Rigging for Animating and Retargeting Facial Meshes in the
  Wild
Neural Face Rigging for Animating and Retargeting Facial Meshes in the WildInternational Conference on Computer Graphics and Interactive Techniques (SIGGRAPH), 2023
Dafei Qin
Jun Saito
Noam Aigerman
Thibault Groueix
Taku Komura
3DHCVBM
251
33
0
15 May 2023
Enhancing Road Safety through Accurate Detection of Hazardous Driving
  Behaviors with Graph Convolutional Recurrent Networks
Enhancing Road Safety through Accurate Detection of Hazardous Driving Behaviors with Graph Convolutional Recurrent NetworksIEEE Access (IEEE Access), 2023
Pooyan Khosravinia
Thinagaran Perumal
Javad Zarrin
143
11
0
08 May 2023
Materials Informatics: An Algorithmic Design Rule
Materials Informatics: An Algorithmic Design Rule
B. Bishnoi
193
0
0
05 May 2023
How Graph Structure and Label Dependencies Contribute to Node
  Classification in a Large Network of Documents
How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents
Pirmin Lemberger
Antoine Saillenfest
GNN
160
0
0
03 Apr 2023
Learning Harmonic Molecular Representations on Riemannian Manifold
Learning Harmonic Molecular Representations on Riemannian ManifoldInternational Conference on Learning Representations (ICLR), 2023
Yiqun Wang
Yuning Shen
Shih‐Ya Chen
Lihao Wang
Fei Ye
Hao Zhou
214
12
0
27 Mar 2023
Spatio-Temporal driven Attention Graph Neural Network with Block
  Adjacency matrix (STAG-NN-BA)
Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA)
U. Nazir
W. Islam
M. Taj
245
3
0
25 Mar 2023
The Multiscale Surface Vision Transformer
The Multiscale Surface Vision TransformerInternational Conference on Medical Imaging with Deep Learning (MIDL), 2023
Simon Dahan
Logan Z. J. Williams
Daniel Rueckert
E. C. Robinson
MedImViT
246
6
0
21 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks
A Survey on Oversmoothing in Graph Neural Networks
T. Konstantin Rusch
Michael M. Bronstein
Siddhartha Mishra
239
303
0
20 Mar 2023
Learned Parameter Selection for Robotic Information Gathering
Learned Parameter Selection for Robotic Information GatheringIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Chris Denniston
G. Salhotra
Akseli Kangaslahti
D. Caron
Gaurav Sukhatme
186
3
0
09 Mar 2023
Node-Specific Space Selection via Localized Geometric Hyperbolicity in
  Graph Neural Networks
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks
See Hian Lee
Feng Ji
Wee Peng Tay
148
2
0
03 Mar 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph
  Convolutional Networks
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional NetworksACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Acong Zhang
Jincheng Huang
Ping Li
Kaizheng Zhang
GNN
218
6
0
17 Feb 2023
Deep Learning on Implicit Neural Representations of Shapes
Deep Learning on Implicit Neural Representations of ShapesInternational Conference on Learning Representations (ICLR), 2023
Luca de Luigi
Adriano Cardace
Riccardo Spezialetti
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
235
60
0
10 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open
  challenges, and opportunities
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Antonio Longa
Veronica Lachi
G. Santin
Monica Bianchini
Bruno Lepri
Pietro Lio
F. Scarselli
Baptiste Caramiaux
AI4CE
554
89
0
02 Feb 2023
Skeleton-based Action Recognition through Contrasting Two-Stream
  Spatial-Temporal Networks
Skeleton-based Action Recognition through Contrasting Two-Stream Spatial-Temporal NetworksIEEE transactions on multimedia (IEEE TMM), 2023
Chen Pang
Xuequan Lu
Lei Lyu
255
34
0
27 Jan 2023
WL meet VC
WL meet VC
Christopher Morris
Floris Geerts
Jan Tönshoff
Martin Grohe
322
32
0
26 Jan 2023
Event Detection in Football using Graph Convolutional Networks
Event Detection in Football using Graph Convolutional Networks
A. Rana
GNN
177
2
0
24 Jan 2023
Everything is Connected: Graph Neural Networks
Everything is Connected: Graph Neural NetworksCurrent Opinion in Structural Biology (Curr. Opin. Struct. Biol.), 2023
Petar Velickovic
GNNAI4CE
241
245
0
19 Jan 2023
State of the Art and Potentialities of Graph-level Learning
State of the Art and Potentialities of Graph-level LearningACM Computing Surveys (ACM Comput. Surv.), 2023
Zhenyu Yang
Ge Zhang
Hongzhi Zhang
Jian Yang
Quan.Z Sheng
...
Charu C. Aggarwal
Hao Peng
Wenbin Hu
Edwin R. Hancock
Pietro Lio
GNNAI4CE
263
25
0
14 Jan 2023
NCP: Neural Correspondence Prior for Effective Unsupervised Shape
  Matching
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching
Souhaib Attaiki
Maks Ovsjanikov
3DPC
204
16
0
14 Jan 2023
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical
  Development Patterns of Preterm Infants
NeuroExplainer: Fine-Grained Attention Decoding to Uncover Cortical Development Patterns of Preterm InfantsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Chen Xue
Fan Wang
Yuanzhuo Zhu
Hui Li
Deyu Meng
Dinggang Shen
C. Lian
297
3
0
01 Jan 2023
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and
  Classification for Diabetic Retinopathy Grading
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading
Hasan Md Tusfiqur
D. M. Nguyen
M. T. N. Truong
T. A. Nguyen
Binh Duc Nguyen
...
H. Profitlich
Ngoc T. T. Than
Ngan Le
P. Xie
Daniel Sonntag
MedIm
176
12
0
30 Dec 2022
Effects of Data Geometry in Early Deep Learning
Effects of Data Geometry in Early Deep LearningNeural Information Processing Systems (NeurIPS), 2022
Saket Tiwari
George Konidaris
345
7
0
29 Dec 2022
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural NetworkBigData Congress [Services Society] (BSS), 2022
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan Rossi
127
0
0
28 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with
  Diversification for Graph Convolutional Neural Networks
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks
Sitao Luan
Mingde Zhao
Chenqing Hua
Xiao-Wen Chang
Doina Precup
GNN
152
39
0
21 Dec 2022
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud
  Analysis
Flattening-Net: Deep Regular 2D Representation for 3D Point Cloud AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Qijian Zhang
Xianqiang Lyu
Y. Qian
Yiming Zeng
Juyong Zhang
Ying He
3DPC
279
41
0
17 Dec 2022
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action
  Recognition
Leveraging Spatio-Temporal Dependency for Skeleton-Based Action RecognitionIEEE International Conference on Computer Vision (ICCV), 2022
Junghoon Lee
Minhyeok Lee
Suhwan Cho
Sungmin Woo
Sungjun Jang
Sangyoun Lee
226
23
0
09 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich
  Platform for Graph Learning Benchmarks
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning BenchmarksLOG IN (LOG IN), 2022
Jiaqi Ma
Xingjian Zhang
Hezheng Fan
Jin Huang
Tianyue Li
Tinghong Li
Yiwen Tu
Chen Zhu
Qiaozhu Mei
282
5
0
08 Dec 2022
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity
  Priors
G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity PriorsComputer Vision and Pattern Recognition (CVPR), 2022
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Zorah Lähner
278
9
0
06 Dec 2022
Semantic Graph Neural Network with Multi-measure Learning for
  Semi-supervised Classification
Semantic Graph Neural Network with Multi-measure Learning for Semi-supervised ClassificationEngineering applications of artificial intelligence (EAAI), 2022
Jun-Liang Lin
Yuan Wan
Jingwen Xu
X. Qi
284
1
0
04 Dec 2022
Component Segmentation of Engineering Drawings Using Graph Convolutional
  Networks
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
Wentai Zhang
Joe Joseph
Yueyan Yin
Liuyue Xie
T. Furuhata
Soji Yamakawa
Kenji Shimada
Levent Burak Kara
190
19
0
01 Dec 2022
Weisfeiler and Leman Go Relational
Weisfeiler and Leman Go RelationalLOG IN (LOG IN), 2022
Pablo Barceló
Mikhail Galkin
Christopher Morris
Miguel Romero Orth
GNN
172
33
0
30 Nov 2022
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Handling Missing Data via Max-Entropy Regularized Graph AutoencoderAAAI Conference on Artificial Intelligence (AAAI), 2022
Zi-Chao Gao
Yifan Niu
Jiashun Cheng
Jianheng Tang
Qifeng Bai
P. Zhao
Lanqing Li
Fugee Tsung
Jia Li
211
14
0
30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on
  Node Classification
Every Node Counts: Improving the Training of Graph Neural Networks on Node ClassificationEuropean Conference on Artificial Intelligence (ECAI), 2022
Moshe Eliasof
E. Haber
Eran Treister
GNN
192
0
0
29 Nov 2022
Learning Dense Object Descriptors from Multiple Views for Low-shot
  Category Generalization
Learning Dense Object Descriptors from Multiple Views for Low-shot Category GeneralizationNeural Information Processing Systems (NeurIPS), 2022
Stefan Stojanov
Anh Thai
Zixuan Huang
James M. Rehg
216
5
0
28 Nov 2022
Deep representation learning: Fundamentals, Perspectives, Applications,
  and Open Challenges
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
K. T. Baghaei
Amirreza Payandeh
Pooya Fayyazsanavi
Shahram Rahimi
Zhiqian Chen
Somayeh Bakhtiari Ramezani
FaMLAI4TS
215
10
0
27 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks
GREAD: Graph Neural Reaction-Diffusion NetworksInternational Conference on Machine Learning (ICML), 2022
Jeongwhan Choi
Seoyoung Hong
Noseong Park
Sung-Bae Cho
DiffMGNN
255
55
0
25 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
281
17
0
21 Nov 2022
Convolutional Filtering on Sampled Manifolds
Convolutional Filtering on Sampled ManifoldsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Zhiyang Wang
Luana Ruiz
Alejandro Ribeiro
164
4
0
20 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems
Spatial Graph Convolution Neural Networks for Water Distribution SystemsInternational Symposium on Intelligent Data Analysis (IDA), 2022
Inaam Ashraf
L. Hermes
André Artelt
Barbara Hammer
GNN
180
14
0
17 Nov 2022
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep
  Learning Model
Neurodevelopmental Phenotype Prediction: A State-of-the-Art Deep Learning Model
Dániel Unyi
Bálint Gyires-Tóth
MedIm
107
1
0
16 Nov 2022
Exponentially Improving the Complexity of Simulating the
  Weisfeiler-Lehman Test with Graph Neural Networks
Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Anders Aamand
Justin Y. Chen
Piotr Indyk
Shyam Narayanan
R. Rubinfeld
Nicholas Schiefer
Sandeep Silwal
Tal Wagner
261
25
0
06 Nov 2022
Unleashing the Power of Graph Data Augmentation on Covariate
  Distribution Shift
Unleashing the Power of Graph Data Augmentation on Covariate Distribution ShiftNeural Information Processing Systems (NeurIPS), 2022
Yongduo Sui
Qitian Wu
Jiancan Wu
Daixin Wang
Longfei Li
An Zhang
Xiang Wang
Xiangnan He
OOD
311
49
0
05 Nov 2022
Improving Graph Neural Networks with Learnable Propagation Operators
Improving Graph Neural Networks with Learnable Propagation OperatorsInternational Conference on Machine Learning (ICML), 2022
Moshe Eliasof
Lars Ruthotto
Eran Treister
225
27
0
31 Oct 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
PAGE: Prototype-Based Model-Level Explanations for Graph Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yong-Min Shin
Sun-Woo Kim
Won-Yong Shin
183
10
0
31 Oct 2022
End-to-End Pareto Set Prediction with Graph Neural Networks for
  Multi-objective Facility Location
End-to-End Pareto Set Prediction with Graph Neural Networks for Multi-objective Facility LocationInternational Conference on Evolutionary Multi-Criterion Optimization (EMO), 2022
Shiqing Liu
Xueming Yan
Yaochu Jin
134
9
0
27 Oct 2022
Searching Dense Point Correspondences via Permutation Matrix Learning
Searching Dense Point Correspondences via Permutation Matrix LearningIEEE Signal Processing Letters (SPL), 2022
Zhiyuan Zhang
Jiadai Sun
Yuchao Dai
Bin Fan
Qi Liu
3DPC
142
2
0
26 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural
  Networks
Geometric Knowledge Distillation: Topology Compression for Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2022
Chenxiao Yang
Qitian Wu
Junchi Yan
223
26
0
24 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation, and Research Challenges
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research ChallengesACM Computing Surveys (ACM CSUR), 2022
Mario Alfonso Prado-Romero
Bardh Prenkaj
Giovanni Stilo
F. Giannotti
CML
285
42
0
21 Oct 2022
Previous
12345...161718
Next