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SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels
v1v2 (latest)

SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels

24 November 2017
Matthias Fey
J. E. Lenssen
F. Weichert
H. Müller
    3DPC
ArXiv (abs)PDFHTML

Papers citing "SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels"

50 / 237 papers shown
Title
Pruning and Quantization Impact on Graph Neural Networks
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Khatoon Khedri
Reza Rawassizadeh
Qifu Wen
M. Hosseinzadeh
GNN
190
0
0
24 Oct 2025
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
K-DAREK: Distance Aware Error for Kurkova Kolmogorov Networks
Masoud Ataei
Vikas Dhiman
M. J. Khojasteh
160
0
0
24 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
118
0
0
15 Oct 2025
A Secure Authentication-Driven Protected Data Collection Protocol in Internet of Things
A Secure Authentication-Driven Protected Data Collection Protocol in Internet of Things
Maryam Ataei Nezhad
H. Barati
A. Barati
64
0
0
08 Oct 2025
Developing Training Procedures for Piecewise-linear Spline Activation Functions in Neural Networks
Developing Training Procedures for Piecewise-linear Spline Activation Functions in Neural Networks
William H Patty
LLMSV
96
0
0
17 Sep 2025
PyG 2.0: Scalable Learning on Real World Graphs
PyG 2.0: Scalable Learning on Real World Graphs
Matthias Fey
Jinu Sunil
Akihiro Nitta
Rishi Puri
Manan Shah
...
Vid Kocijan
Zecheng Zhang
Xinwei He
J. E. Lenssen
J. Leskovec
GNNAI4CE
280
22
0
22 Jul 2025
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Non-Overlap-Aware Egocentric Pose Estimation for Collaborative Perception in Connected Autonomy
Hong Huang
Dongkuan Xu
Hao Zhang
Peng Gao
175
0
0
17 Jun 2025
Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
Andrea Caraffa
Davide Boscaini
Fabio Poiesi
277
3
0
11 Jun 2025
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
Learning from Noise: Enhancing DNNs for Event-Based Vision through Controlled Noise Injection
M. Kowalczyk
K. Jeziorek
T. Kryjak
211
0
0
04 Jun 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
334
2
0
19 May 2025
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation Learning
ABG-NAS: Adaptive Bayesian Genetic Neural Architecture Search for Graph Representation LearningKnowledge-Based Systems (KBS), 2025
Sixuan Wang
Jiao Yin
Jinli Cao
MingJian Tang
Hua Wang
Yanchun Zhang
GNNAI4CE
318
2
0
30 Apr 2025
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
Explaining Vision GNNs: A Semantic and Visual Analysis of Graph-based Image Classification
Nikolaos Chaidos
Angeliki Dimitriou
Nikolaos Spanos
Athanasios Voulodimos
Giorgos Stamou
230
4
0
28 Apr 2025
Normalized Matching Transformer
Normalized Matching Transformer
Abtin Pourhadi
Paul Swoboda
ViT
254
0
0
22 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
357
1
0
19 Mar 2025
Dynamic Causal Structure Discovery and Causal Effect Estimation
Dynamic Causal Structure Discovery and Causal Effect EstimationKnowledge Discovery and Data Mining (KDD), 2025
Jianian Wang
Rui Song
CML
189
3
0
11 Jan 2025
Geometry Distributions
Geometry Distributions
Biao Zhang
Jing Ren
Peter Wonka
3DHAI4CE
276
0
0
25 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
233
0
0
31 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear
  Constraints via Non-Autoregressive Neural Networks
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural NetworksScientia Sinica Informationis (SSI), 2024
Runzhong Wang
Yang Li
Junchi Yan
Xiaokang Yang
AI4CE
215
1
0
06 Sep 2024
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
Self-Parameterization Based Multi-Resolution Mesh Convolution Networks
Shi Hezi
Jiang Luo
Zheng Jianmin
Zeng Jun
AI4CE
173
1
0
25 Aug 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks
LinSATNet: The Positive Linear Satisfiability Neural Networks
Runzhong Wang
Yunhao Zhang
Ziao Guo
Tianyi Chen
Yunbo Wang
Junchi Yan
160
24
0
18 Jul 2024
A Recursive Encoding for Cuneiform Signs
A Recursive Encoding for Cuneiform Signs
Daniel M. Stelzer
62
1
0
25 Jun 2024
Convolutional Kolmogorov-Arnold Networks
Convolutional Kolmogorov-Arnold Networks
Alexander Dylan Bodner
Antonio Santiago Tepsich
Jack Natan Spolski
Santiago Pourteau
347
121
0
19 Jun 2024
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs
K. Jeziorek
Piotr Wzorek
Krzysztof Blachut
Andrea Pinna
T. Kryjak
GNN
290
10
0
11 Jun 2024
Bayesian Mesh Optimization for Graph Neural Networks to Enhance
  Engineering Performance Prediction
Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction
Jangseop Park
Namwoo Kang
AI4CE
147
4
0
04 Jun 2024
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
Yufeng Yang
Adrian Kneip
Charlotte Frenkel
GNN
324
16
0
30 Apr 2024
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber
Thomas Dagès
Maolin Gao
Daniel Cremers
AI4CE
149
11
0
05 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
226
13
0
02 Apr 2024
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks
Sukhdeep Singh
Anuj Sharma
Vinod Kumar Chauhan
263
1
0
22 Mar 2024
Soft Masked Transformer for Point Cloud Processing with Skip
  Attention-Based Upsampling
Soft Masked Transformer for Point Cloud Processing with Skip Attention-Based Upsampling
Yong-xing He
Hongshan Yu
Muhammad Ibrahim
Xiaoyan Liu
Tongjia Chen
Anwaar Ulhaq
Lin Wang
3DPC
201
0
0
21 Mar 2024
LIBR+: Improving Intraoperative Liver Registration by Learning the
  Residual of Biomechanics-Based Deformable Registration
LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable RegistrationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Dingrong Wang
Soheil Azadvar
Jon S. Heiselman
Xiajun Jiang
Michael I Miga
Linwei Wang
AI4CE
208
6
0
11 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
157
6
0
11 Mar 2024
Ensemble Quadratic Assignment Network for Graph Matching
Ensemble Quadratic Assignment Network for Graph MatchingInternational Journal of Computer Vision (IJCV), 2024
Haoru Tan
Chuang Wang
Sitong Wu
Xu-Yao Zhang
Fei Yin
Cheng-Lin Liu
171
8
0
11 Mar 2024
Deformation-Guided Unsupervised Non-Rigid Shape Matching
Deformation-Guided Unsupervised Non-Rigid Shape MatchingBritish Machine Vision Conference (BMVC), 2023
Aymen Merrouche
João Regateiro
Stefanie Wuhrer
Edmond Boyer
3DPC3DV
200
4
0
27 Nov 2023
Identification of vortex in unstructured mesh with graph neural networks
Identification of vortex in unstructured mesh with graph neural networks
Lianfa Wang
Yvan Fournier
J. Wald
Youssef Mesri
112
11
0
11 Nov 2023
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning
  of Mixture Graph Matching and Clustering
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and ClusteringInternational Conference on Learning Representations (ICLR), 2023
Jiaxin Lu
Zetian Jiang
Tianzhe Wang
Junchi Yan
233
3
0
27 Oct 2023
URLOST: Unsupervised Representation Learning without Stationarity or Topology
URLOST: Unsupervised Representation Learning without Stationarity or TopologyInternational Conference on Learning Representations (ICLR), 2023
Zeyu Yun
Juexiao Zhang
Bruno A. Olshausen
Yann LeCun
522
1
0
06 Oct 2023
Fast, Expressive SE$(n)$ Equivariant Networks through Weight-Sharing in
  Position-Orientation Space
Fast, Expressive SE(n)(n)(n) Equivariant Networks through Weight-Sharing in Position-Orientation SpaceInternational Conference on Learning Representations (ICLR), 2023
Erik J. Bekkers
Sharvaree P. Vadgama
Rob D. Hesselink
P. A. V. D. Linden
David W. Romero
358
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0
04 Oct 2023
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein
  Distance
Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
Junjie Yang
Matthieu Labeau
Steeven Villa
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185
1
0
28 Sep 2023
Neuromorphic Imaging and Classification with Graph Learning
Neuromorphic Imaging and Classification with Graph Learning
Pei Zhang
Chutian Wang
Edmund Y. Lam
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135
9
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27 Sep 2023
Learning the Geodesic Embedding with Graph Neural Networks
Learning the Geodesic Embedding with Graph Neural NetworksACM Transactions on Graphics (TOG), 2023
Bo Pang
Zhongtian Zheng
Guoping Wang
Peng-Shuai Wang
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171
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0
11 Sep 2023
Geometric Learning-Based Transformer Network for Estimation of
  Segmentation Errors
Geometric Learning-Based Transformer Network for Estimation of Segmentation Errors
S. Sree
Mohammad Al Fahim
Keerthi Ram
M. Sivaprakasam
MedIm
96
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0
09 Aug 2023
Explainable machine learning to enable high-throughput electrical
  conductivity optimization and discovery of doped conjugated polymers
Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymersKnowledge-Based Systems (KBS), 2023
Ji Wei Yoon
Adithya Kumar
Kiran Ravish
K. Hippalgaonkar
J. Senthilnath
Vijila Chellappan
103
8
0
08 Aug 2023
Memory-Efficient Graph Convolutional Networks for Object Classification
  and Detection with Event Cameras
Memory-Efficient Graph Convolutional Networks for Object Classification and Detection with Event Cameras
K. Jeziorek
Andrea Pinna
T. Kryjak
GNN
174
16
0
26 Jul 2023
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory
  Forecasting
EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory ForecastingIEEE International Conference on Computer Vision (ICCV), 2023
Inhwan Bae
Jean Oh
Hae-Gon Jeon
229
58
0
18 Jul 2023
Unsupervised Deep Graph Matching Based on Cycle Consistency
Unsupervised Deep Graph Matching Based on Cycle Consistency
Siddharth Tourani
Carsten Rother
M. H. Khan
Bogdan Savchynskkyy
263
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0
18 Jul 2023
SHARCS: Shared Concept Space for Explainable Multimodal Learning
SHARCS: Shared Concept Space for Explainable Multimodal Learning
Gabriele Dominici
Pietro Barbiero
Lucie Charlotte Magister
Pietro Lio
Nikola Simidjievski
158
6
0
01 Jul 2023
Explainable and Position-Aware Learning in Digital Pathology
Explainable and Position-Aware Learning in Digital Pathology
Milan Aryal
Nasim Yahyasoltani
MedIm
122
0
0
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Surrogate Modeling of Car Drag Coefficient with Depth and Normal
  Renderings
Surrogate Modeling of Car Drag Coefficient with Depth and Normal RenderingsDesign Automation Conference (DAC), 2023
Binyang Song
Chenyang Yuan
Frank Permenter
Nikos Arechiga
Faez Ahmed
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213
23
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26 May 2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
IVP-VAE: Modeling EHR Time Series with Initial Value Problem SolversAAAI Conference on Artificial Intelligence (AAAI), 2023
Jing Xiao
Leonie Basso
Wolfgang Nejdl
Niloy Ganguly
Sandipan Sikdar
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259
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OctFormer: Octree-based Transformers for 3D Point Clouds
OctFormer: Octree-based Transformers for 3D Point CloudsACM Transactions on Graphics (TOG), 2023
Peng-Shuai Wang
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259
134
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