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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
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
Time Extrapolation with Graph Convolutional Autoencoder and Tensor Train Decomposition
Yuanhong Chen
F. Pichi
Zhen Gao
G. Rozza
AI4TSAI4CE
87
0
0
28 Nov 2025
Tensor Gauge Flow Models
Tensor Gauge Flow Models
Alexander Strunk
Roland Assam
DRL
228
0
0
18 Nov 2025
Developing a Multi-task Ensemble Geometric Deep Network for Supply Chain Sustainability and Risk Management
Developing a Multi-task Ensemble Geometric Deep Network for Supply Chain Sustainability and Risk Management
Mehdi Khaleghi
Nastaran Khaleghi
Sobhan Sheykhivand
Sebelan Danishvar
37
0
0
30 Oct 2025
PoissonNet: A Local-Global Approach for Learning on Surfaces
PoissonNet: A Local-Global Approach for Learning on Surfaces
Arman Maesumi
Tanish Makadia
Thibault Groueix
Vladimir G. Kim
Daniel E. Ritchie
Noam Aigerman
138
0
0
15 Oct 2025
GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing
GaussianMorphing: Mesh-Guided 3D Gaussians for Semantic-Aware Object Morphing
Mengtian Li
Yunshu Bai
Yimin Chu
Yijun Shen
Zhongmei Li
Weifeng Ge
Zhifeng Xie
Chaofeng Chen
3DGS
117
1
0
02 Oct 2025
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Adaptive Canonicalization with Application to Invariant Anisotropic Geometric Networks
Ya-Wei Eileen Lin
Ron Levie
224
0
0
29 Sep 2025
Derivative-informed Graph Convolutional Autoencoder with Phase Classification for the Lifshitz-Petrich Model
Derivative-informed Graph Convolutional Autoencoder with Phase Classification for the Lifshitz-Petrich Model
Yanlai Chen
Yajie Ji
Zhenli Xu
101
0
0
14 Sep 2025
Matching Shapes Under Different Topologies: A Topology-Adaptive Deformation Guided Approach
Matching Shapes Under Different Topologies: A Topology-Adaptive Deformation Guided Approach
Aymen Merrouche
Stefanie Wuhrer
Edmond Boyer
108
0
0
08 Sep 2025
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning?
Ibne Farabi Shihab
Sanjeda Akter
Anuj Sharma
OffRL
143
0
0
04 Sep 2025
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
The Tsetlin Machine Goes Deep: Logical Learning and Reasoning With Graphs
Ole-Christoffer Granmo
Youmna Abdelwahab
Per-Arne Andersen
Paul F. A. Clarke
Kunal Dumbre
...
Ahmed Khalid
Rebekka Omslandseter
Rupsa Saha
Mayur Shende
Xuan Zhang
GNNVLM
207
0
0
20 Jul 2025
Understanding Generalization in Node and Link Prediction
Understanding Generalization in Node and Link Prediction
Antonis Vasileiou
Timo Stoll
Christopher Morris
AI4CE
291
0
0
01 Jul 2025
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion ApproachIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2025
Qingfeng Chen
Shiyuan Li
Yixin Liu
Shirui Pan
Geoffrey I. Webb
Shichao Zhang
EDL
306
8
0
16 Jun 2025
Crime Hotspot Prediction Using Deep Graph Convolutional Networks
Crime Hotspot Prediction Using Deep Graph Convolutional Networks
Tehreem Zubair
Syeda Kisaa Fatima
Noman Ahmed
Asifullah Khan
GNN
154
2
0
16 Jun 2025
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data?
Michela Lapenna
Caterina De Bacco
371
1
0
13 Jun 2025
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
Andrea Caraffa
Davide Boscaini
Fabio Poiesi
305
3
0
11 Jun 2025
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics
Tobias Würth
Niklas Freymuth
Gerhard Neumann
Luise Kärger
DiffMAI4CE
385
2
0
06 Jun 2025
Lower Ricci Curvature for Hypergraphs
Lower Ricci Curvature for Hypergraphs
Shiyi Yang
Can Chen
Didong Li
326
0
0
04 Jun 2025
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
Xiping Li
Xiangyu Dong
Xingyi Zhang
Kun Xie
Yuanhao Feng
Bo Wang
Guilin Li
Wuxiong Zeng
Xiujun Shu
Sibo Wang
191
2
0
25 May 2025
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives
Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives
Zihu Wang
Boxun Xu
Hejia Geng
Peng Li
252
1
0
21 May 2025
AdS-GNN -- a Conformally Equivariant Graph Neural Network
AdS-GNN -- a Conformally Equivariant Graph Neural Network
Maksim Zhdanov
Nabil Iqbal
Erik Bekkers
Patrick Forré
353
2
0
19 May 2025
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
Boris Kriuk
Matey Yordanov
297
0
0
02 May 2025
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Position: Beyond Euclidean -- Foundation Models Should Embrace Non-Euclidean Geometries
Neil He
Jiahong Liu
Buze Zhang
N. Bui
Ali Maatouk
Menglin Yang
Irwin King
Melanie Weber
Rex Ying
271
4
0
11 Apr 2025
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition
Vincent Gbouna Zakka
Luis J. Manso
Zhuangzhuang Dai
189
0
0
03 Apr 2025
MultiMorph: On-demand Atlas Construction
MultiMorph: On-demand Atlas ConstructionComputer Vision and Pattern Recognition (CVPR), 2025
S. M. Abulnaga
Andrew Hoopes
Neel Dey
Malte Hoffmann
Marianne Rakic
B. Fischl
John Guttag
Adrian V. Dalca
229
4
0
31 Mar 2025
Distilling 3D distinctive local descriptors for 6D pose estimation
Distilling 3D distinctive local descriptors for 6D pose estimation
Amir Hamza
Andrea Caraffa
Davide Boscaini
Fabio Poiesi
371
1
0
19 Mar 2025
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold Representation
Surface Vision Mamba: Leveraging Bidirectional State Space Model for Efficient Spherical Manifold RepresentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2025
Rongzhao He
Weihao Zheng
Leilei Zhao
Ying Wang
Dalin Zhu
Dan Wu
Bin Hu
Mamba
722
3
0
21 Feb 2025
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems
Scalable and Robust Physics-Informed Graph Neural Networks for Water Distribution Systems
Inaam Ashraf
André Artelt
Barbara Hammer
OODAI4CE
114
1
0
11 Feb 2025
Enhancing Graph Representation Learning with Localized Topological Features
Enhancing Graph Representation Learning with Localized Topological Features
Zuoyu Yan
Qi Zhao
Ze Ye
Tengfei Ma
Liangcai Gao
Zhi Tang
Yusu Wang
Chao Chen
243
4
0
17 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs
Optimality of Message-Passing Architectures for Sparse GraphsNeural Information Processing Systems (NeurIPS), 2023
Aseem Baranwal
Kimon Fountoulakis
Aukosh Jagannath
602
12
0
10 Jan 2025
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Deep Learning for Ophthalmology: The State-of-the-Art and Future Trends
Duy M. Nguyen
Hasan Md Tusfiqur Alam
Trung Quoc Nguyen
Devansh Srivastav
H. Profitlich
Ngan Le
Daniel Sonntag
300
6
0
07 Jan 2025
SurfPatch: Enabling Patch Matching for Exploratory Stream Surface VisualizationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2025
Delin An
Chaoli Wang
145
0
0
01 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine
  Learning Engineers
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers
James H. Tanis
Chris Giannella
Adrian V. Mariano
AI4CEGNNFaMLPINN
304
4
0
27 Dec 2024
EvRepSL: Event-Stream Representation via Self-Supervised Learning for
  Event-Based Vision
EvRepSL: Event-Stream Representation via Self-Supervised Learning for Event-Based VisionIEEE Transactions on Image Processing (TIP), 2024
Qiang Qu
Xiaoming Chen
Yuk Ying Chung
Yiran Shen
AI4TS
272
12
0
10 Dec 2024
When does a bridge become an aeroplane?
When does a bridge become an aeroplane?
T. Dardeno
L. Bull
N. Dervilis
Keith Worden
221
0
0
27 Nov 2024
Extended multi-stream temporal-attention module for skeleton-based human
  action recognition (HAR)
Extended multi-stream temporal-attention module for skeleton-based human action recognition (HAR)Computers in Human Behavior (CHB), 2024
Faisal Mehmood
Xin Guo
Enqing Chen
Muhammad Azeem Akbar
A. Khan
Sami Ullah
326
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0
10 Nov 2024
SurfGNN: A robust surface-based prediction model with interpretability
  for coactivation maps of spatial and cortical features
SurfGNN: A robust surface-based prediction model with interpretability for coactivation maps of spatial and cortical features
Zhuoshuo Li
Jiong Zhang
Youbing Zeng
Jiaying Lin
Dan Zhang
Jianjia Zhang
Duan Xu
H. Kim
Bingguang Liu
Mengting Liu
177
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0
05 Nov 2024
A Recipe for Geometry-Aware 3D Mesh Transformers
A Recipe for Geometry-Aware 3D Mesh TransformersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Mohammad Farazi
Yalin Wang
246
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0
31 Oct 2024
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
Bohan Wang
Yurui Chang
Lu Lin
Lu Lin
OODDOOD
462
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23 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks
Focus Where It Matters: Graph Selective State Focused Attention Networks
Shikhar Vashistha
Neetesh Kumar
173
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0
21 Oct 2024
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets
  by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug
  Effect Prediction
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect PredictionInternational Conference on Machine Learning and Applications (ICMLA), 2024
A. Bose
Guojing Cong
124
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0
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IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks
Junchao Lin
Zenan Ling
Zhanbo Feng
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Jingwen Xu
Feng Zhou
Tianqi Hou
Zhenyu Liao
Robert C. Qiu
GNNAI4CE
432
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0
11 Oct 2024
IT$^3$: Idempotent Test-Time Training
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Nikita Durasov
Assaf Shocher
Doruk Öner
Gal Chechik
Alexei A. Efros
Pascal Fua
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564
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0
05 Oct 2024
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB)
  approach for learning molecular thermodynamics and kinetics
Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kineticsDigital Discovery (DD), 2024
Ziyue Zou
Dedi Wang
P. Tiwary
AI4CE
160
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OpenFGL: A Comprehensive Benchmark for Federated Graph Learning
OpenFGL: A Comprehensive Benchmark for Federated Graph LearningProceedings of the VLDB Endowment (PVLDB), 2024
Miao Hu
Yinlin Zhu
Boyang Pang
Guochen Yan
Yeyu Yan
Zening Li
Zhengyu Wu
Wentao Zhang
Rong-Hua Li
Guoren Wang
FedML
328
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0
29 Aug 2024
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network
  Approach to Site Selection
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site SelectionBigData Congress [Services Society] (BSS), 2024
Luca Silvano Carocci
Qiwei Han
168
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0
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Generalization of Graph Neural Networks is Robust to Model Mismatch
Generalization of Graph Neural Networks is Robust to Model MismatchAAAI Conference on Artificial Intelligence (AAAI), 2024
Zhiyang Wang
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Alejandro Ribeiro
366
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Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
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Shi Hezi
Jiang Luo
Zheng Jianmin
Zeng Jun
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182
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A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and
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A Unified Manifold Similarity Measure Enhancing Few-Shot, Transfer, and Reinforcement Learning in Manifold-Distributed Datasets
S. W. Qayyumi
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Non-convolutional Graph Neural Networks
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Yuanqing Wang
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A review of graph neural network applications in mechanics-related
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Yingxue Zhao
Haoran Li
Haosu Zhou
H. Attar
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AI4CE
306
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