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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"

37 / 237 papers shown
Sparse hierarchical representation learning on molecular graphs
Sparse hierarchical representation learning on molecular graphs
M. Bal
Hagen Triendl
Mariana Assmann
M. Craig
Lawrence Phillips
J. Frost
Usman Bashir
Noor Shaker
V. Stojevic
GNN
95
1
0
06 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks
Transferability of Spectral Graph Convolutional Neural NetworksJournal of machine learning research (JMLR), 2019
Ron Levie
Wei Huang
Lorenzo Bucci
M. Bronstein
Gitta Kutyniok
GNN
445
137
0
30 Jul 2019
Image Classification with Hierarchical Multigraph Networks
Image Classification with Hierarchical Multigraph NetworksBritish Machine Vision Conference (BMVC), 2019
Boris Knyazev
Xiaoyu Lin
Mohamed R. Amer
Graham W. Taylor
GNNBDL
193
38
0
21 Jul 2019
Bayesian Optimization on Large Graphs via a Graph Convolutional
  Generative Model: Application in Cardiac Model Personalization
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model PersonalizationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Jwala Dhamala
S. Ghimire
J. Sapp
B. Horácek
Linwei Wang
MedIm
104
12
0
01 Jul 2019
Spectral Clustering with Graph Neural Networks for Graph Pooling
Spectral Clustering with Graph Neural Networks for Graph Pooling
F. Bianchi
Daniele Grattarola
Cesare Alippi
GNN
429
44
0
30 Jun 2019
A Convolutional Decoder for Point Clouds using Adaptive Instance
  Normalization
A Convolutional Decoder for Point Clouds using Adaptive Instance Normalization
I. Lim
Moritz Ibing
Leif Kobbelt
3DPC3DV
126
15
0
27 Jun 2019
FSPool: Learning Set Representations with Featurewise Sort Pooling
FSPool: Learning Set Representations with Featurewise Sort PoolingInternational Conference on Learning Representations (ICLR), 2019
Yan Zhang
Jonathon S. Hare
Adam Prugel-Bennett
405
89
0
06 Jun 2019
Learning the Non-linearity in Convolutional Neural Networks
Learning the Non-linearity in Convolutional Neural Networks
Gavneet Singh Chadha
Andreas Schwung
85
5
0
29 May 2019
Representation Learning for Dynamic Graphs: A Survey
Representation Learning for Dynamic Graphs: A SurveyJournal of machine learning research (JMLR), 2019
Seyed Mehran Kazemi
Rishab Goel
Kshitij Jain
I. Kobyzev
Akshay Sethi
Peter Forsyth
Pascal Poupart
AI4TSAI4CEGNN
307
539
0
27 May 2019
Graph U-Nets
Graph U-NetsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019
Hongyang Gao
Shuiwang Ji
AI4CESSLSSegGNN
566
1,207
0
11 May 2019
Deep Closest Point: Learning Representations for Point Cloud
  Registration
Deep Closest Point: Learning Representations for Point Cloud RegistrationIEEE International Conference on Computer Vision (ICCV), 2019
Yue Wang
Justin Solomon
3DPC
210
973
0
08 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape
  Representation Learning and Generation
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and GenerationIEEE International Conference on Computer Vision (ICCV), 2019
Giorgos Bouritsas
Sergiy Bokhnyak
Stylianos Ploumpis
M. Bronstein
Stefanos Zafeiriou
MedIm3DH
281
178
0
08 May 2019
Understanding Attention and Generalization in Graph Neural Networks
Understanding Attention and Generalization in Graph Neural NetworksNeural Information Processing Systems (NeurIPS), 2019
Boris Knyazev
Graham W. Taylor
Mohamed R. Amer
GNN
311
378
0
08 May 2019
Stability and Generalization of Graph Convolutional Neural Networks
Stability and Generalization of Graph Convolutional Neural NetworksKnowledge Discovery and Data Mining (KDD), 2019
Saurabh Verma
Zhi-Li Zhang
GNNMLT
344
176
0
03 May 2019
Graph Convolutional Networks with EigenPooling
Graph Convolutional Networks with EigenPoolingKnowledge Discovery and Data Mining (KDD), 2019
Yao Ma
Suhang Wang
Charu C. Aggarwal
Shucheng Zhou
GNN
355
351
0
30 Apr 2019
Self-Attention Graph Pooling
Self-Attention Graph Pooling
Junhyun Lee
Inyeop Lee
Jaewoo Kang
GNN
548
1,254
0
17 Apr 2019
Deep Iterative Surface Normal Estimation
Deep Iterative Surface Normal Estimation
J. E. Lenssen
Christian Osendorfer
Jonathan Masci
3DPC
222
1
0
15 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks
Matthias Fey
GNN
131
51
0
09 Apr 2019
Kervolutional Neural Networks
Kervolutional Neural Networks
Chen Wang
Jianfei Yang
Lihua Xie
Junsong Yuan
194
70
0
08 Apr 2019
A Survey on Graph Kernels
A Survey on Graph Kernels
Nils M. Kriege
Fredrik D. Johansson
Christopher Morris
258
461
0
28 Mar 2019
MeshGAN: Non-linear 3D Morphable Models of Faces
MeshGAN: Non-linear 3D Morphable Models of Faces
Shiyang Cheng
M. Bronstein
Yuxiang Zhou
I. Kotsia
Maja Pantic
Stefanos Zafeiriou
CVBM3DHGAN
173
86
0
25 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
1.9K
5,026
0
06 Mar 2019
Graph Neural Networks for Modelling Traffic Participant Interaction
Graph Neural Networks for Modelling Traffic Participant Interaction
Frederik Diehl
T. Brunner
Michael Truong-Le
Alois Knoll
HAIGNN
203
130
0
04 Mar 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node
  Classification
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification
Fenyu Hu
Yanqiao Zhu
Shu Wu
Liang Wang
Tieniu Tan
GNN
196
7
0
13 Feb 2019
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability
  with Tactile Sensors
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
Alberto Garcia-Garcia
Brayan S. Zapata-Impata
Sergio Orts
P. Gil
Jose Garcia-Rodriguez
134
62
0
18 Jan 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
Cesare Alippi
GNN
745
456
0
05 Jan 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaMLGNNAI4TSAI4CE
1.6K
10,242
0
03 Jan 2019
Spectral Multigraph Networks for Discovering and Fusing Relationships in
  Molecules
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
Boris Knyazev
Xiao Lin
Mohamed R. Amer
Graham W. Taylor
GNN
139
31
0
23 Nov 2018
Towards Sparse Hierarchical Graph Classifiers
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea
Petar Velickovic
Nikola Jovanović
Thomas Kipf
Pietro Lio
GNN
309
283
0
03 Nov 2018
Some New Layer Architectures for Graph CNN
Some New Layer Architectures for Graph CNN
Shrey Gadiya
Deepak Anand
A. Sethi
GNN
96
5
0
31 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks
Christopher Morris
Martin Ritzert
Matthias Fey
William L. Hamilton
J. E. Lenssen
Gaurav Rattan
Martin Grohe
GNN
661
1,858
0
04 Oct 2018
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel
  Frames
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
Yuqi Yang
Shilin Liu
Hao Pan
Yang Liu
Xin Tong
3DPC3DV
164
17
0
15 Aug 2018
A survey on Deep Learning Advances on Different 3D Data Representations
A survey on Deep Learning Advances on Different 3D Data Representations
Eman Ahmed
Alexandre Saint
Abd El Rahman Shabayek
K. Cherenkova
Rig Das
Gleb Gusev
Djamila Aouada
Björn E. Ottersten
AI4TS3DPC
229
108
0
04 Aug 2018
Hierarchical Graph Representation Learning with Differentiable Pooling
Hierarchical Graph Representation Learning with Differentiable Pooling
Rex Ying
Jiaxuan You
Christopher Morris
Xiang Ren
William L. Hamilton
J. Leskovec
GNN
604
2,358
0
22 Jun 2018
Group Equivariant Capsule Networks
Group Equivariant Capsule Networks
J. E. Lenssen
Matthias Fey
Pascal Libuschewski
284
117
0
13 Jun 2018
Recognizing Cuneiform Signs Using Graph Based Methods
Recognizing Cuneiform Signs Using Graph Based Methods
Nils M. Kriege
Matthias Fey
Denis Fisseler
Petra Mutzel
F. Weichert
197
36
0
16 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
862
6,936
0
24 Jan 2018
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