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. 1711.08920
  4. Cited By
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
A Consistent Diffusion-Based Algorithm for Semi-Supervised
  Classification on Graphs
A Consistent Diffusion-Based Algorithm for Semi-Supervised Classification on Graphs
Nathan de Lara
Thomas Bonald
DiffM
72
0
0
27 Aug 2020
Learning from Irregularly-Sampled Time Series: A Missing Data
  Perspective
Learning from Irregularly-Sampled Time Series: A Missing Data Perspective
Steven Cheng-Xian Li
Benjamin M. Marlin
AI4TS
140
70
0
17 Aug 2020
Graph Convolution with Low-rank Learnable Local Filters
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng
Zichen Miao
Qiang Qiu
GNN
152
0
0
04 Aug 2020
Multi-view adaptive graph convolutions for graph classification
Multi-view adaptive graph convolutions for graph classificationEuropean Conference on Computer Vision (ECCV), 2020
Tim Kaiser
N. Vretos
P. Daras
181
12
0
24 Jul 2020
Learning to Generate Customized Dynamic 3D Facial Expressions
Learning to Generate Customized Dynamic 3D Facial ExpressionsEuropean Conference on Computer Vision (ECCV), 2020
Rolandos Alexandros Potamias
Jiali Zheng
Stylianos Ploumpis
Giorgos Bouritsas
Evangelos Ververas
Stefanos Zafeiriou
3DH
271
24
0
19 Jul 2020
Learning Geometry-Dependent and Physics-Based Inverse Image
  Reconstruction
Learning Geometry-Dependent and Physics-Based Inverse Image ReconstructionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Xiajun Jiang
S. Ghimire
Jwala Dhamala
Zhiyuan Li
P. Gyawali
Linwei Wang
AI4CE
119
8
0
18 Jul 2020
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph
  Classification
M-Evolve: Structural-Mapping-Based Data Augmentation for Graph ClassificationIEEE Transactions on Network Science and Engineering (IEEE Trans. Netw. Sci. Eng.), 2020
Jiajun Zhou
Jie Shen
Shanqing Yu
Guanrong Chen
Qi Xuan
271
27
0
11 Jul 2020
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and
  Architectures
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and ArchitecturesNeural Information Processing Systems (NeurIPS), 2020
Julien Launay
Iacopo Poli
Franccois Boniface
Florent Krzakala
295
73
0
23 Jun 2020
NodeNet: A Graph Regularised Neural Network for Node Classification
NodeNet: A Graph Regularised Neural Network for Node Classification
Shrey Dabhi
Manojkumar Somabhai Parmar
GNN
165
12
0
16 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning
  of Computational Physics Data using Unstructured Spatial Discretizations
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial DiscretizationsSIAM Journal on Scientific Computing (SIAM J. Sci. Comput.), 2020
John Tencer
Kevin Potter
AI4CE
238
13
0
11 Jun 2020
Explicit Gradient Learning
Explicit Gradient Learning
Mor Sinay
Elad Sarafian
Y. Louzoun
Noam Agmon
Sarit Kraus
OffRL
148
8
0
09 Jun 2020
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying
  Kernels
Fully Convolutional Mesh Autoencoder using Efficient Spatially Varying Kernels
Yi Zhou
Chenglei Wu
Zimo Li
Chen Cao
Yuting Ye
Jason M. Saragih
Hao Li
Yaser Sheikh
147
88
0
08 Jun 2020
MeshSDF: Differentiable Iso-Surface Extraction
MeshSDF: Differentiable Iso-Surface Extraction
Edoardo Remelli
Artem Lukoianov
Stephan R. Richter
Benoît Guillard
Timur M. Bagautdinov
Pierre Baqué
Pascal Fua
312
166
0
06 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant FeaturesACM Transactions on Graphics (TOG), 2020
R. Wiersma
E. Eisemann
Klaus Hildebrandt
242
76
0
02 Jun 2020
DeepRetinotopy: Predicting the Functional Organization of Human Visual
  Cortex from Structural MRI Data using Geometric Deep Learning
DeepRetinotopy: Predicting the Functional Organization of Human Visual Cortex from Structural MRI Data using Geometric Deep LearningNeuroImage (NeuroImage), 2020
Fernanda L. Ribeiro
S. Bollmann
A. M. Puckett
MedIm
190
23
0
26 May 2020
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Adversarial Attack on Hierarchical Graph Pooling Neural Networks
Haoteng Tang
Guixiang Ma
Yurong Chen
Lei Guo
Wei Wang
Bo Zeng
Chen Tang
AAML
222
32
0
23 May 2020
Customized Graph Neural Networks
Customized Graph Neural Networks
Yiqi Wang
Yao Ma
Wei Jin
Chaozhuo Li
Charu C. Aggarwal
Shucheng Zhou
201
3
0
22 May 2020
Graph Homomorphism Convolution
Graph Homomorphism ConvolutionInternational Conference on Machine Learning (ICML), 2020
Hoang NT
Takanori Maehara
219
45
0
03 May 2020
Characters as Graphs: Recognizing Online Handwritten Chinese Characters
  via Spatial Graph Convolutional Network
Characters as Graphs: Recognizing Online Handwritten Chinese Characters via Spatial Graph Convolutional Network
Ji Gan
Weiqiang Wang
Kelvin Lu
GNN
117
2
0
20 Apr 2020
Geometrically Principled Connections in Graph Neural Networks
Geometrically Principled Connections in Graph Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Shunwang Gong
Mehdi Bahri
M. Bronstein
Stefanos Zafeiriou
GNNAI4CE
167
22
0
06 Apr 2020
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural
  Networks
Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks
M. Balcilar
G. Renton
Pierre Héroux
Benoit Gaüzère
Sébastien Adam
P. Honeine
151
66
0
26 Mar 2020
Deep Graph Matching via Blackbox Differentiation of Combinatorial
  Solvers
Deep Graph Matching via Blackbox Differentiation of Combinatorial SolversEuropean Conference on Computer Vision (ECCV), 2020
Michal Rolínek
Paul Swoboda
Dominik Zietlow
Anselm Paulus
Vít Musil
Georg Martius
182
121
0
25 Mar 2020
Distilling Knowledge from Graph Convolutional Networks
Distilling Knowledge from Graph Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2020
Yiding Yang
Jiayan Qiu
Xiuming Zhang
Dacheng Tao
Xinchao Wang
558
263
0
23 Mar 2020
GeoGraph: Learning graph-based multi-view object detection with
  geometric cues end-to-end
GeoGraph: Learning graph-based multi-view object detection with geometric cues end-to-end
A. Nassar
Stefano Dáronco
Sébastien Lefèvre
Jan Dirk Wegner
ObjD
168
4
0
23 Mar 2020
A Dynamic Reduction Network for Point Clouds
A Dynamic Reduction Network for Point Clouds
L. Gray
T. Klijnsma
Shamik Ghosh
3DPCGNN
166
10
0
18 Mar 2020
A Survey on Deep Geometry Learning: From a Representation Perspective
A Survey on Deep Geometry Learning: From a Representation PerspectiveComputational Visual Media (CVM), 2020
Yun-Peng Xiao
Yu-Kun Lai
Fang-Lue Zhang
Chunpeng Li
Lin Gao
3DHAI4TS
224
116
0
19 Feb 2020
Superpixel Image Classification with Graph Attention Networks
Superpixel Image Classification with Graph Attention NetworksSIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI), 2020
Pedro H. C. Avelar
Anderson R. Tavares
T. L. T. D. Silveira
C. R. Jung
Luís C. Lamb
GNN
217
58
0
13 Feb 2020
Adversarial Generation of Continuous Implicit Shape Representations
Adversarial Generation of Continuous Implicit Shape RepresentationsEurographics (EG), 2020
Marian Kleineberg
Matthias Fey
F. Weichert
3DPCGAN
235
64
0
02 Feb 2020
MGCN: Descriptor Learning using Multiscale GCNs
MGCN: Descriptor Learning using Multiscale GCNsACM Transactions on Graphics (TOG), 2020
Yiqun Wang
Jing Ren
Dong‐Ming Yan
Jianwei Guo
Xiaopeng Zhang
Peter Wonka
236
8
0
28 Jan 2020
Deep Graph Matching Consensus
Deep Graph Matching ConsensusInternational Conference on Learning Representations (ICLR), 2020
Matthias Fey
J. E. Lenssen
Christopher Morris
Jonathan Masci
Nils M. Kriege
197
221
0
27 Jan 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds
Quaternion Equivariant Capsule Networks for 3D Point CloudsEuropean Conference on Computer Vision (ECCV), 2019
Yongheng Zhao
Tolga Birdal
J. E. Lenssen
Emanuele Menegatti
Leonidas Guibas
Federico Tombari
3DPC
443
92
0
27 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with
  Differentiable Coarsening and Optimal Transport
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal TransportAAAI Conference on Artificial Intelligence (AAAI), 2019
Tengfei Ma
Jie Chen
150
26
0
24 Dec 2019
Learnable Pooling in Graph Convolution Networks for Brain Surface
  Analysis
Learnable Pooling in Graph Convolution Networks for Brain Surface AnalysisIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Karthik Gopinath
Christian Desrosiers
H. Lombaert
204
30
0
22 Nov 2019
Heterogeneous Deep Graph Infomax
Heterogeneous Deep Graph Infomax
Yuxiang Ren
Bo Liu
Chao Huang
Peng Dai
Liefeng Bo
Jiawei Zhang
199
121
0
19 Nov 2019
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph
  Representations
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph RepresentationsAAAI Conference on Artificial Intelligence (AAAI), 2019
Ekagra Ranjan
Soumya Sanyal
Partha P. Talukdar
GNN
397
376
0
18 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
Shunwang Gong
Lei Chen
M. Bronstein
Stefanos Zafeiriou
3DH
291
167
0
13 Nov 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration
PRNet: Self-Supervised Learning for Partial-to-Partial RegistrationNeural Information Processing Systems (NeurIPS), 2019
Yue Wang
Justin Solomon
SSL3DPC
283
437
0
27 Oct 2019
Topological based classification using graph convolutional networks
Topological based classification using graph convolutional networks
R. Abel
I. Benami
Y. Louzoun
GNN
79
5
0
26 Oct 2019
Hierarchical Representation Learning in Graph Neural Networks with Node
  Decimation Pooling
Hierarchical Representation Learning in Graph Neural Networks with Node Decimation PoolingIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
296
54
0
24 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional
  Networks
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks
A. Mazari
H. Sahbi
GNN
119
5
0
15 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision
  Sensing
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
201
26
0
08 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain
Graph Analysis and Graph Pooling in the Spatial Domain
M. Rahmani
Maria Liakata
GNN
185
3
0
03 Oct 2019
B-Spline CNNs on Lie Groups
B-Spline CNNs on Lie GroupsInternational Conference on Learning Representations (ICLR), 2019
Erik J. Bekkers
AI4CE
604
147
0
26 Sep 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer
  Learning
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning
Saurabh Verma
Zhi-Li Zhang
FedMLGNNSSL
276
10
0
22 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Spherical Kernel for Efficient Graph Convolution on 3D Point CloudsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Huan Lei
Naveed Akhtar
Lin Wang
3DPC
243
179
0
20 Sep 2019
Geometric Brain Surface Network For Brain Cortical Parcellation
Geometric Brain Surface Network For Brain Cortical Parcellation
Wen Zhang
Yalin Wang
53
9
0
13 Sep 2019
Spatial Graph Convolutional Networks
Spatial Graph Convolutional Networks
Tomasz Danel
Przemysław Spurek
Jacek Tabor
Marek Śmieja
Lukasz Struski
Agnieszka Słowik
Lukasz Maziarka
GNN
207
10
0
11 Sep 2019
GMLS-Nets: A framework for learning from unstructured data
GMLS-Nets: A framework for learning from unstructured data
Nathaniel Trask
Ravi G. Patel
B. Gross
P. Atzberger
213
41
0
07 Sep 2019
Graph-Based Object Classification for Neuromorphic Vision Sensing
Graph-Based Object Classification for Neuromorphic Vision SensingIEEE International Conference on Computer Vision (ICCV), 2019
Yin Bi
Aaron Chadha
Alhabib Abbas
Eirina Bourtsoulatze
Y. Andreopoulos
GNN
178
186
0
19 Aug 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network
Learning Two-View Correspondences and Geometry Using Order-Aware NetworkIEEE International Conference on Computer Vision (ICCV), 2019
Jiahui Zhang
Dawei Sun
Zixin Luo
Anbang Yao
Lei Zhou
Tianwei Shen
Yurong Chen
Long Quan
Hongen Liao
3DPC
222
350
0
14 Aug 2019
Previous
12345
Next