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Geometric deep learning on graphs and manifolds using mixture model CNNs

25 November 2016

Papers citing "Geometric deep learning on graphs and manifolds using mixture model CNNs"

49 / 849 papers shown

Title
Point Convolutional Neural Networks by Extension Operators Matan Atzmon Haggai Maron Y. Lipman 3DPC 102 546 0 27 Mar 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 214 580 0 20 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning Chu Wang Babak Samari Kaleem Siddiqi 3DPC GNN 140 378 0 15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 174 1,351 0 12 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 163 343 0 10 Mar 2018
N-body Networks: a Covariant Hierarchical Neural Network Architecture for Learning Atomic Potentials Risi Kondor AI4CE 141 108 0 05 Mar 2018
Matching Convolutional Neural Networks without Priors about Data Carlos Lassance Jean-Charles Vialatte Vincent Gripon GNN MedIm 50 6 0 27 Feb 2018
SPLATNet: Sparse Lattice Networks for Point Cloud Processing Hang Su Varun Jampani Deqing Sun Subhransu Maji E. Kalogerakis Ming-Hsuan Yang Jan Kautz 3DPC 194 758 0 22 Feb 2018
Recognizing Cuneiform Signs Using Graph Based Methods Nils M. Kriege Matthias Fey Denis Fisseler Petra Mutzel F. Weichert 149 34 0 16 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 82 7 0 15 Feb 2018
Graph2Seq: Scalable Learning Dynamics for Graphs S. Venkatakrishnan Mohammad Alizadeh Pramod Viswanath GNN 102 12 0 14 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks Chao Shang Qinqing Liu Ko-Shin Chen Jiangwen Sun Jin Lu Jinfeng Yi J. Bi GNN 193 93 0 14 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 694 1,419 0 12 Feb 2018
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups Risi Kondor Shubhendu Trivedi MLT 290 518 0 11 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 134 144 0 04 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 258 1,561 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 758 6,436 0 24 Jan 2018
$PointCNN: Convolution On $\mathcal{X}$-Transformed Points$ PointCNN: Convolution On $\mathcal{X}$ -Transformed Points Yangyan Li Rui Bu Mingchao Sun Wei Wu Xinhan Di Baoquan Chen 3DPC 381 2,533 0 23 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Yaoqing Yang Chen Feng Yiru Shen Dong Tian 3DPC 142 76 0 19 Dec 2017
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling Yiru Shen Chen Feng Yaoqing Yang Dong Tian 3DPC 110 33 0 19 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 206 224 0 01 Dec 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu M. Simonovsky GNN 3DPC 347 1,290 0 27 Nov 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 261 451 0 24 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 211 506 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 265 525 0 17 Nov 2017
Learning Depthwise Separable Graph Convolution from Data Manifold Guokun Lai Hanxiao Liu Yiming Yang 80 1 0 31 Oct 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 940 21,259 0 30 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 200 323 0 28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 150 405 0 27 Oct 2017
Convolutional neural networks on irregular domains based on approximate vertex-domain translations Bastien Pasdeloup Vincent Gripon Jean-Charles Vialatte Dominique Pastor P. Frossard 71 3 0 27 Oct 2017
Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias Nathanael Perraudin 152 86 0 16 Oct 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 233 1,817 0 22 Sep 2017
Efficient Deformable Shape Correspondence via Kernel Matching Zorah Lähner Matthias Vestner A. Boyarski Or Litany Ron Slossberg ... Emanuele Rodolà A. Bronstein M. Bronstein Ron Kimmel Zorah Lähner 3DPC 105 124 0 25 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 331 672 0 12 Jul 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis Nitika Verma Edmond Boyer Jakob Verbeek 3DPC GNN 101 26 0 16 Jun 2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks Haibin Huang E. Kalogerakis S. Chaudhuri Duygu Ceylan Vladimir G. Kim Ersin Yumer 3DPC 126 134 0 14 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 84 0 0 08 Jun 2017
Graph Convolutional Matrix Completion Rianne van den Berg Thomas Kipf Max Welling GNN 201 1,299 0 07 Jun 2017
Surface Networks Ilya Kostrikov Zhongshi Jiang Daniele Panozzo Denis Zorin Joan Bruna 119 100 0 30 May 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters Ron Levie Federico Monti Xavier Bresson M. Bronstein GNN 268 673 0 22 May 2017
The Kernel Mixture Network: A Nonparametric Method for Conditional Density Estimation of Continuous Random Variables L. Ambrogioni Umut Güçlü Marcel van Gerven E. Maris BDL 301 49 0 19 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence Or Litany Tal Remez Emanuele Rodolà A. Bronstein M. Bronstein 3DPC 243 300 0 27 Apr 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks Federico Monti M. Bronstein Xavier Bresson GNN 283 529 0 22 Apr 2017
Fast Spectral Ranking for Similarity Search Ahmet Iscen Yannis Avrithis Giorgos Tolias Teddy Furon Ondřej Chum 119 50 0 20 Mar 2017
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks S. Ktena Sarah Parisot Enzo Ferrante Martin Rajchl M. J. Lee Ben Glocker Daniel Rueckert GNN 231 198 0 07 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 145 141 0 02 Mar 2017
3D Shape Segmentation via Shape Fully Convolutional Networks Pengyu Wang Y. Gan Panpan Shui Fenggen Yu Yan Zhang Song-Le Chen Zhengxing Sun 3DPC 108 87 0 28 Feb 2017
Unifying local and non-local signal processing with graph CNNs Gilles Puy Srdan Kitic P. Pérez GNN 83 16 0 24 Feb 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 1.0K 3,400 0 24 Nov 2016