Geometric deep learning: going beyond Euclidean data

24 November 2016

Joan Bruna

Papers citing "Geometric deep learning: going beyond Euclidean data"

50 / 1,429 papers shown

Title
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 11 76 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 9 14 0 17 Sep 2018
MeshCNN: A Network with an Edge Rana Hanocka Amir Hertz N. Fish Raja Giryes S. Fleishman Daniel Cohen-Or 8 271 0 16 Sep 2018
Multi-Kernel Diffusion CNNs for Graph-Based Learning on Point Clouds Lasse Hansen Jasper Diesel M. Heinrich DiffM 3DPC 16 7 0 14 Sep 2018
Bayesian Semi-supervised Learning with Graph Gaussian Processes Yin Cheng Ng Nicolo Colombo Ricardo M. A. Silva BDL 14 89 0 12 Sep 2018
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks Shikhar Vashishth Manik Bhandari Prateek Yadav Piyush Rai Chiranjib Bhattacharyya Partha P. Talukdar GNN 10 4 0 12 Sep 2018
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 11 16 0 11 Sep 2018
RealPoint3D: Point Cloud Generation from a Single Image with Complex Background Yukang Chen Qian Zhang Lisen Mu Chang Huang Gaofeng Meng Xinggang Wang 3DPC 17 11 0 08 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 10 37 0 07 Sep 2018
Geometry of Deep Learning for Magnetic Resonance Fingerprinting Mohammad Golbabaee Dongdong Chen Pedro A. Gómez Marion I. Menzel Mike E. Davies 14 42 0 05 Sep 2018
Latent Molecular Optimization for Targeted Therapeutic Design Tristan Aumentado-Armstrong 13 41 0 05 Sep 2018
Graph reduction with spectral and cut guarantees Andreas Loukas 14 3 0 31 Aug 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 10 1 0 30 Aug 2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator Zhiqian Chen F. Chen Rongjie Lai Xuchao Zhang Chang-Tien Lu GNN 22 6 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 25 3 0 21 Aug 2018
Relational dynamic memory networks Trang Pham T. Tran Svetha Venkatesh GNN 19 3 0 10 Aug 2018
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning Jiayao Zhang Guangxu Zhu R. Heath Kaibin Huang 12 41 0 07 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 22 95 0 04 Aug 2018
Generating 3D faces using Convolutional Mesh Autoencoders Anurag Ranjan Timo Bolkart Soubhik Sanyal Michael J. Black CVBM 3DH 16 566 0 26 Jul 2018
Context-adaptive neural network based prediction for image compression Thierry Dumas A. Roumy C. Guillemot AI4CE 12 51 0 17 Jul 2018
The Sparse Manifold Transform Yubei Chen Dylan M. Paiton Bruno A. Olshausen MedIm 12 57 0 23 Jun 2018
The Foundations of Deep Learning with a Path Towards General Intelligence Eray Özkural AI4CE 4 6 0 22 Jun 2018
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 36 100 0 22 Jun 2018
Hierarchical Graph Representation Learning with Differentiable Pooling Rex Ying Jiaxuan You Christopher Morris Xiang Ren William L. Hamilton J. Leskovec GNN 24 2,124 0 22 Jun 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 22 248 0 21 Jun 2018
Wall Stress Estimation of Cerebral Aneurysm based on Zernike Convolutional Neural Networks Zhiyu Sun Jia Lu Stephen Seung-Yeob Baek 11 0 0 20 Jun 2018
Latent Space Representation for Shape Analysis and Learning Ruqi Huang Panos Achlioptas Leonidas J. Guibas M. Ovsjanikov 14 3 0 11 Jun 2018
Deep Vessel Segmentation By Learning Graphical Connectivity Seung Yeon Shin Soochahn Lee I. Yun Kyoung Mu Lee 13 205 0 06 Jun 2018
Multi-chart Generative Surface Modeling Heli Ben-Hamu Haggai Maron Itay Kezurer G. Avineri Y. Lipman MedIm 21 75 0 06 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 70 3,477 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 11 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 10 526 0 05 Jun 2018
Embedding Logical Queries on Knowledge Graphs William L. Hamilton Payal Bajaj Marinka Zitnik Dan Jurafsky J. Leskovec NAI 25 286 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 91 3,077 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 42 593 0 04 Jun 2018
Deep Multi-Structural Shape Analysis: Application to Neuroanatomy B. Gutiérrez-Becker Christian Wachinger 3DPC 6 20 0 04 Jun 2018
Dual-Primal Graph Convolutional Networks Federico Monti Oleksandr Shchur Aleksandar Bojchevski Or Litany Stephan Günnemann M. Bronstein GNN 17 79 0 03 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas J. Guibas AAML GNN 33 41 0 31 May 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 13 906 0 30 May 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning Michael C. Kampffmeyer Yinbo Chen Xiaodan Liang Hao Wang Yujia Zhang Eric P. Xing 18 303 0 29 May 2018
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices Rudrasis Chakraborty Chun-Hao Yang Xingjian Zhen Monami Banerjee Derek B. Archer David E Vaillancourt Vikas Singh B. Vemuri 9 38 0 29 May 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 23 220 0 24 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 16 16 0 24 May 2018
Optimal Transport for structured data with application on graphs Titouan Vayer Laetitia Chapel Rémi Flamary R. Tavenard Nicolas Courty OT 17 263 0 23 May 2018
Hyperbolic Neural Networks O. Ganea Gary Bécigneul Thomas Hofmann 14 583 0 23 May 2018
geomstats: a Python Package for Riemannian Geometry in Machine Learning Nina Miolane Johan Mathe Claire Donnat Mikael Jorda Xavier Pennec AI4CE 26 123 0 21 May 2018
Parallel Transport Convolution: A New Tool for Convolutional Neural Networks on Manifolds Stefan C. Schonsheck Bin Dong Rongjie Lai 24 22 0 21 May 2018
Learning Graph-Level Representations with Recurrent Neural Networks Yu Jin J. JáJá GNN SSL 25 13 0 20 May 2018
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds Daniele Grattarola Daniele Zambon C. Alippi L. Livi GNN 27 40 0 16 May 2018
A CNN for homogneous Riemannian manifolds with applications to Neuroimaging Rudrasis Chakraborty Monami Banerjee B. Vemuri 11 9 0 14 May 2018