v1v2v3 (latest)

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"

50 / 849 papers shown

Title
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 191 194 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 252 267 0 03 Nov 2018
Modeling Attention Flow on Graphs Xiaoran Xu Songpeng Zu Chengliang Gao Yuan Zhang Wei Feng GNN 86 11 0 01 Nov 2018
DeepSphere: Efficient spherical Convolutional Neural Network with HEALPix sampling for cosmological applications Nathanael Perraudin M. Defferrard T. Kacprzak R. Sgier 155 176 0 29 Oct 2018
A Convolutional Autoencoder Approach to Learn Volumetric Shape Representations for Brain Structures Evan M. Yu M. Sabuncu DRL 48 3 0 17 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 498 1,752 0 14 Oct 2018
Multi-directional Geodesic Neural Networks via Equivariant Convolution A. Poulenard M. Ovsjanikov 3DH 93 93 0 01 Oct 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 86 33 0 26 Sep 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 175 1,495 0 25 Sep 2018
Deep Part Induction from Articulated Object Pairs L. Yi Haibin Huang Difan Liu E. Kalogerakis Hao Su Leonidas Guibas 3DPC 111 110 0 19 Sep 2018
A Simple Approach to Intrinsic Correspondence Learning on Unstructured 3D Meshes I. Lim A.C.A. Dielen M. Campen Leif Kobbelt 143 95 0 18 Sep 2018
Graph Neural Networks for IceCube Signal Classification Nicholas Choma Federico Monti Lisa Gerhardt T. Palczewski Z. Ronaghi P. Prabhat W. Bhimji M. Bronstein S. Klein Joan Bruna 136 77 0 17 Sep 2018
Integrative Analysis of Patient Health Records and Neuroimages via Memory-based Graph Convolutional Network Xi Sheryl Zhang Jingyuan Chou Fei Wang 73 15 0 17 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 153 300 0 16 Sep 2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds Christoph Großbröhmer Jasper Diesel M. Heinrich DiffM 3DPC 84 7 0 14 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 138 504 0 14 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 167 91 0 12 Sep 2018
Higher-order Graph Convolutional Networks J. B. Lee Ryan A. Rossi Xiangnan Kong Sungchul Kim Eunyee Koh Anup B. Rao GNN 82 36 0 12 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 60 1 0 30 Aug 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 102 169 0 27 Aug 2018
Learning Human-Object Interactions by Graph Parsing Neural Networks Siyuan Qi Wenguan Wang Baoxiong Jia Jianbing Shen Song-Chun Zhu GNN 140 547 0 23 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 64 3 0 21 Aug 2018
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames Yuqi Yang Shilin Liu Hao Pan Yang Liu Xin Tong 3DPC 3DV 100 17 0 15 Aug 2018
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning Jiayao Zhang Guangxu Zhu R. Heath Kaibin Huang 87 43 0 07 Aug 2018
Deep Generative Modeling for Scene Synthesis via Hybrid Representations Zaiwei Zhang Zhenpei Yang Chongyang Ma Linjie Luo Alexander G. Huth E. Vouga Qi-Xing Huang GAN 3DPC 81 133 0 06 Aug 2018
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 AI4TS 3DPC 115 98 0 04 Aug 2018
Perturbation Robust Representations of Topological Persistence Diagrams Anirudh Som Kowshik Thopalli Karthikeyan N. Ramamurthy Vinay Venkataraman Ankita Shukla Pavan Turaga 70 16 0 26 Jul 2018
Generating 3D faces using Convolutional Mesh Autoencoders Anurag Ranjan Timo Bolkart Soubhik Sanyal Michael J. Black CVBM 3DH 194 584 0 26 Jul 2018
When Work Matters: Transforming Classical Network Structures to Graph CNN Wenting Zhao Chunyan Xu Zhen Cui Tong Zhang Jiatao Jiang Ying Tai Jian Yang GNN 85 15 0 07 Jul 2018
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network Risi Kondor Zhen Lin Shubhendu Trivedi 228 278 0 24 Jun 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks Zhiyu Sun Jia Lu Stephen Seung-Yeob Baek 41 0 0 20 Jun 2018
Learning Conditioned Graph Structures for Interpretable Visual Question Answering Will Norcliffe-Brown Efstathios Vafeias Sarah Parisot GNN 201 241 0 19 Jun 2018
3D-CODED : 3D Correspondences by Deep Deformation Thibault Groueix Matthew Fisher Vladimir G. Kim Bryan C. Russell Mathieu Aubry 3DPC 3DV 271 339 0 13 Jun 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 656 2,062 0 09 Jun 2018
Deep Vessel Segmentation By Learning Graphical Connectivity Seung Yeon Shin Soochahn Lee I. Yun Kyoung Mu Lee 90 216 0 06 Jun 2018
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity Salim Arslan S. Ktena Ben Glocker Daniel Rueckert GNN 85 53 0 05 Jun 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 118 576 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 986 3,213 0 04 Jun 2018
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 109 79 0 03 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 113 41 0 31 May 2018
Anonymous Walk Embeddings Sergey Ivanov Evgeny Burnaev GNN 86 183 0 30 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 275 1,102 0 21 May 2018
Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras Marco Cannici Marco Ciccone Andrea Romanoni Matteo Matteucci ObjD 138 126 0 21 May 2018
Towards a Spectrum of Graph Convolutional Networks Mathias Niepert Alberto García-Durán GNN 49 1 0 04 May 2018
NAIS-Net: Stable Deep Networks from Non-Autonomous Differential Equations Marco Ciccone Marco Gallieri Jonathan Masci Christian Osendorfer Faustino J. Gomez 119 58 0 19 Apr 2018
Walk-Steered Convolution for Graph Classification Jiatao Jiang Chunyan Xu Zhen Cui Tong Zhang Chengzhen Li Jian Yang GNN 79 12 0 16 Apr 2018
Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images Nanyang Wang Yinda Zhang Zhuwen Li Yanwei Fu Wen Liu Yu-Gang Jiang 3DV 215 1,357 0 05 Apr 2018
Visual Object Categorization Based on Hierarchical Shape Motifs Learned From Noisy Point Cloud Decompositions Christian A. Mueller A. Birk 3DPC 42 3 0 03 Apr 2018
The Structure Transfer Machine Theory and Applications Baochang Zhang Lian Zhuo Ze Wang Jiawei Han Xiantong Zhen OOD 91 6 0 01 Apr 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 354 790 0 30 Mar 2018