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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
Neural varifolds: an aggregate representation for quantifying the
  geometry of point clouds
Neural varifolds: an aggregate representation for quantifying the geometry of point clouds
Juheon Lee
Xiaohao Cai
Carola-Bibian Schönlieb
Simon Masnou
3DPC
228
1
0
05 Jul 2024
Differential Encoding for Improved Representation Learning over Graphs
Differential Encoding for Improved Representation Learning over Graphs
Haimin Zhang
Jiahao Xia
Min Xu
334
0
0
03 Jul 2024
Graph Neural Reaction Diffusion Models
Graph Neural Reaction Diffusion Models
Moshe Eliasof
Eldad Haber
Eran Treister
DiffMAI4CE
243
7
0
16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification
Global-Local Graph Neural Networks for Node-Classification
Moshe Eliasof
Eran Treister
371
6
0
16 Jun 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge
  Graphs
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs
Elika Bozorgi
Sakher Khalil Alqaiidi
Afsaneh Shams
H. Arabnia
Krzysztof Kochut
163
1
0
11 Jun 2024
A Manifold Perspective on the Statistical Generalization of Graph Neural
  Networks
A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
Zhiyang Wang
J. Cerviño
Alejandro Ribeiro
AI4CEGNN
282
13
0
07 Jun 2024
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Sunwoong Yang
Ricardo Vinuesa
Namwoo Kang
AI4CE
181
6
0
06 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
Ya-Wei Eileen Lin
Ronen Talmon
Ron Levie
271
1
0
03 Jun 2024
Learning to Solve Multiresolution Matrix Factorization by Manifold
  Optimization and Evolutionary Metaheuristics
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics
Truong-Son Hy
Thieu Khang
Risi Kondor
302
0
0
01 Jun 2024
Probabilistic Graph Rewiring via Virtual Nodes
Probabilistic Graph Rewiring via Virtual Nodes
Chendi Qian
Andrei Manolache
Christopher Morris
Mathias Niepert
AI4CE
325
11
0
27 May 2024
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization
M. R. Uddin
Min Xu
412
0
0
27 May 2024
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
207
13
0
23 May 2024
Analysis of Corrected Graph Convolutions
Analysis of Corrected Graph Convolutions
Robert Wang
Aseem Baranwal
Kimon Fountoulakis
283
0
0
22 May 2024
Conditional Local Feature Encoding for Graph Neural Networks
Conditional Local Feature Encoding for Graph Neural Networks
Yongze Wang
Haimin Zhang
Qiang Wu
Min Xu
AI4CEGNN
118
1
0
08 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural
  Network
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural NetworkInternational Conference on Machine Learning (ICML), 2024
Ziang Zhou
Jieming Shi
Renchi Yang
Yuanhang Zou
Qing Li
GNN
170
17
0
03 May 2024
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement
  Learning-Optimised Graph Neural Networks
EEG_RL-Net: Enhancing EEG MI Classification through Reinforcement Learning-Optimised Graph Neural Networks
Htoo Wai Aung
Jiao Jiao Li
Yang An
Steven W. Su
136
0
0
26 Apr 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks
  with FROND
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND
Qiyu Kang
Kai Zhao
Qinxu Ding
Feng Ji
Xuhao Li
Wenfei Liang
Yang Song
Wee Peng Tay
351
15
0
26 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels
CKGConv: General Graph Convolution with Continuous Kernels
Liheng Ma
Soumyasundar Pal
Yitian Zhang
Jiaming Zhou
Yingxue Zhang
Mark Coates
204
8
0
21 Apr 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
219
0
0
19 Apr 2024
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
Wenhao Zhang
Jun Wang
Yong Luo
Lei Yu
Wei Yu
Zheng He
Jialie Shen
363
4
0
18 Apr 2024
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals
  Classification
EEG_GLT-Net: Optimising EEG Graphs for Real-time Motor Imagery Signals Classification
Htoo Wai Aung
Jiao Jiao Li
Yang An
Steven W. Su
142
6
0
17 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation
  Learning on Graphs
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs
Haimin Zhang
Min Xu
GNN
207
0
0
15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional
  Networks
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks
Haimin Zhang
Min Xu
205
4
0
15 Apr 2024
A singular Riemannian Geometry Approach to Deep Neural Networks III.
  Piecewise Differentiable Layers and Random Walks on $n$-dimensional Classes
A singular Riemannian Geometry Approach to Deep Neural Networks III. Piecewise Differentiable Layers and Random Walks on nnn-dimensional Classes
A. Benfenati
A. Marta
230
3
0
09 Apr 2024
Quadratic Binary Optimization with Graph Neural Networks
Quadratic Binary Optimization with Graph Neural Networks
Moshe Eliasof
Eldad Haber
GNN
276
0
0
07 Apr 2024
First-order PDES for Graph Neural Networks: Advection And Burgers
  Equation Models
First-order PDES for Graph Neural Networks: Advection And Burgers Equation Models
Yifan Qu
Oliver A. Krzysik
H. Sterck
Omer Ege Kara
AI4CE
174
0
0
03 Apr 2024
Continuous Spiking Graph Neural Networks
Continuous Spiking Graph Neural Networks
Nan Yin
Mengzhu Wang
Li Shen
Hitesh Laxmichand Patel
Baopu Li
Bin Gu
Huan Xiong
GNN
248
13
0
02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability
Graph Neural Aggregation-diffusion with Metastability
Kaiyuan Cui
Xinyan Wang
Zicheng Zhang
Weichen Zhao
311
2
0
29 Mar 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems
Physics-Informed Graph Neural Networks for Water Distribution Systems
Inaam Ashraf
Janine Strotherm
L. Hermes
Barbara Hammer
AI4CE
229
21
0
27 Mar 2024
Enabling Uncertainty Estimation in Iterative Neural Networks
Enabling Uncertainty Estimation in Iterative Neural Networks
Nikita Durasov
Doruk Öner
Jonathan Donier
Hieu M. Le
Pascal Fua
UQCV
707
11
0
25 Mar 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Sukhdeep Singh
Anuj Sharma
Vinod Kumar Chauhan
267
1
0
22 Mar 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph
  Representational Learning
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning
Raffaele Paolino
Sohir Maskey
Pascal Welke
Gitta Kutyniok
235
4
0
20 Mar 2024
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs
Surface-aware Mesh Texture Synthesis with Pre-trained 2D CNNs
Áron Samuel Kovács
Pedro Hermosilla
R. Raidou
3DV
177
6
0
11 Mar 2024
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape
  Matching via Unsupervised Functional Map Regularized Reconstruction
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized ReconstructionNeural Information Processing Systems (NeurIPS), 2024
Souhaib Attaiki
M. Ovsjanikov
3DPC
210
12
0
11 Mar 2024
An End-to-End Deep Learning Generative Framework for Refinable Shape
  Matching and Generation
An End-to-End Deep Learning Generative Framework for Refinable Shape Matching and GenerationIEEE Transactions on Medical Imaging (IEEE TMI), 2024
Soodeh Kalaie
Andy Bulpitt
Alejandro F. Frangi
A. Gooya
MedIm
147
1
0
10 Mar 2024
Attention is all you need for boosting graph convolutional neural
  network
Attention is all you need for boosting graph convolutional neural network
Yinwei Wu
GNN
254
0
0
10 Mar 2024
Towards a Generic Representation of Combinatorial Problems for
  Learning-Based Approaches
Towards a Generic Representation of Combinatorial Problems for Learning-Based ApproachesIntegration of AI and OR Techniques in Constraint Programming (CPAIOR), 2024
Léo Boisvert
Hélene Verhaeghe
Quentin Cappart
236
7
0
09 Mar 2024
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
Rethinking Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An
Guolei Sun
Yun-Hai Liu
Fayao Liu
Zongwei Wu
Dan Wang
Luc Van Gool
Serge Belongie
3DPC
262
18
0
01 Mar 2024
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash
  Simulations Using Graph Convolutional Neural Networks
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks
Jonas Kneifl
Jörg Fehr
Steven L. Brunton
J. Nathan Kutz
AI4CE
233
1
0
14 Feb 2024
Weisfeiler-Leman at the margin: When more expressivity matters
Weisfeiler-Leman at the margin: When more expressivity mattersInternational Conference on Machine Learning (ICML), 2024
Billy J. Franks
Christopher Morris
A. Velingker
Floris Geerts
488
15
0
12 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime
Generalization Error of Graph Neural Networks in the Mean-field RegimeInternational Conference on Machine Learning (ICML), 2024
Gholamali Aminian
Yixuan He
Gesine Reinert
Lukasz Szpruch
Samuel N. Cohen
368
4
0
10 Feb 2024
Continual Learning on Graphs: A Survey
Continual Learning on Graphs: A Survey
Zonggui Tian
Duanhao Zhang
Hong-Ning Dai
317
13
0
09 Feb 2024
E(3)-Equivariant Mesh Neural Networks
E(3)-Equivariant Mesh Neural Networks
Thuan Trang
Nhat-Khang Ngô
Daniel Levy
Thieu N. Vo
Siamak Ravanbakhsh
Truong-Son Hy
MDE
229
6
0
07 Feb 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance
  Sparse Information Aggregation
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
Ruizhe Zhang
Xinke Jiang
Yuchen Fang
Jiayuan Luo
Yongxin Xu
Yichen Zhu
Xu Chu
Junfeng Zhao
Yasha Wang
287
2
0
18 Jan 2024
Feature Network Methods in Machine Learning and Applications
Feature Network Methods in Machine Learning and Applications
Xinying Mu
Mark Kon
GNN
111
0
0
10 Jan 2024
Strong Transitivity Relations and Graph Neural Networks
Strong Transitivity Relations and Graph Neural Networks
Yassin Mohamadi
M. H. Chehreghani
GNN
198
4
0
01 Jan 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
Chasing Fairness in Graphs: A GNN Architecture Perspective
Zhimeng Jiang
Xiaotian Han
Chao Fan
Zirui Liu
Na Zou
Ali Mostafavi
Helen Zhou
246
16
0
19 Dec 2023
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning
  Attacks in Federated Learning
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
Hossein Fereidooni
Alessandro Pegoraro
Phillip Rieger
Alexandra Dmitrienko
Ahmad-Reza Sadeghi
AAML
191
36
0
07 Dec 2023
On the Initialization of Graph Neural Networks
On the Initialization of Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Jiahang Li
Ya-Zhi Song
Xiang Song
David Wipf
GNN
206
10
0
05 Dec 2023
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided
  Molecular Design
Mixed-Integer Optimisation of Graph Neural Networks for Computer-Aided Molecular DesignComputers and Chemical Engineering (Comput. Chem. Eng.), 2023
Tom McDonald
Calvin Tsay
Artur M. Schweidtmann
Neil Yorke-Smith
263
24
0
02 Dec 2023
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