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 / 284 papers shown

Title
Independence Promoted Graph Disentangled Networks Yanbei Liu Xiao Wang Shu Wu Zhitao Xiao 19 94 0 26 Nov 2019
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 37 154 0 18 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 19 96 0 17 Nov 2019
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator Shunwang Gong Lei Chen M. Bronstein S. Zafeiriou 3DH 13 144 0 13 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 9 15 0 12 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 25 12 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 37 943 0 06 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 48 685 0 28 Oct 2019
PRNet: Self-Supervised Learning for Partial-to-Partial Registration Yue Wang Justin Solomon SSL 3DPC 14 379 0 27 Oct 2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 30 151 0 17 Oct 2019
Multi-modal Deep Analysis for Multimedia Wenwu Zhu Xin Eric Wang Hongzhi Li 19 38 0 11 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 11 26 0 08 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 21 0 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Juho Kannala Jian Tang 31 62 0 25 Sep 2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning Stefan Sommer A. Bronstein 13 11 0 13 Sep 2019
CvxNet: Learnable Convex Decomposition Boyang Deng Kyle Genova S. Yazdani Sofien Bouaziz Geoffrey E. Hinton Andrea Tagliasacchi 22 251 0 12 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 11 5 0 06 Sep 2019
Learning Two-View Correspondences and Geometry Using Order-Aware Network Jiahui Zhang Dawei Sun Zixin Luo Anbang Yao Lei Zhou Tianwei Shen Yurong Chen Long Quan Hongen Liao 3DPC 18 308 0 14 Aug 2019
Transferability of Spectral Graph Convolutional Neural Networks Ron Levie Wei Huang Lorenzo Bucci M. Bronstein Gitta Kutyniok GNN 22 125 0 30 Jul 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 17 35 0 21 Jul 2019
PH-GCN: Person Re-identification with Part-based Hierarchical Graph Convolutional Network Bo Jiang Xixi Wang B. Luo 6 19 0 20 Jul 2019
Cormorant: Covariant Molecular Neural Networks Brandon M. Anderson Truong Son-Hy Risi Kondor 11 421 0 06 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao X. Chang Doina Precup GNN 23 155 0 05 Jun 2019
Provably Powerful Graph Networks Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 17 562 0 27 May 2019
Graph Convolutional Gaussian Processes Ian Walker Ben Glocker GNN 6 35 0 14 May 2019
LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer Lin-Zhuo Chen Xuan-Yi Li Deng-Ping Fan Kai Wang Shao-Ping Lu Ming-Ming Cheng 3DPC 6 34 0 14 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 22 1,062 0 11 May 2019
Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation Giorgos Bouritsas Sergiy Bokhnyak Stylianos Ploumpis M. Bronstein S. Zafeiriou MedIm 3DH 21 161 0 08 May 2019
RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion M. Sarmad H. J. Lee Y. Kim 3DPC 18 180 0 28 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 17 24 0 24 Apr 2019
Exploring Structure-Adaptive Graph Learning for Robust Semi-Supervised Classification Xiang Gao Wei Hu Zongming Guo GNN 12 1 0 23 Apr 2019
Adaptive Hierarchical Down-Sampling for Point Cloud Classification E. Nezhadarya E. Taghavi Ryan Razani Bingbing Liu Jun-Jie Luo 3DPC 17 107 0 11 Apr 2019
Reasoning Visual Dialogs with Structural and Partial Observations Zilong Zheng Wenguan Wang Siyuan Qi Song-Chun Zhu 33 117 0 11 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 11 47 0 09 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 14 239 0 04 Apr 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 19 255 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 68 4,223 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 9 3,109 0 19 Feb 2019
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling Angelo Porrello Davide Abati Simone Calderara Rita Cucchiara 16 11 0 13 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 150 8,350 0 03 Jan 2019
Surface Networks via General Covers Niv Haim Nimrod Segol Heli Ben-Hamu Haggai Maron Y. Lipman 3DPC 14 49 0 27 Dec 2018
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 28 5,397 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 27 1,319 0 11 Dec 2018
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation Zhiyu Sun Ethan Rooke Jerome Charton Yusen He Jia Lu Stephen Seung-Yeob Baek 18 21 0 03 Dec 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 19 227 0 27 Nov 2018
Graph Learning-Convolutional Networks Bo Jiang Ziyan Zhang Doudou Lin Jin Tang GNN SSL 16 5 0 25 Nov 2018
Hierarchical Bipartite Graph Convolution Networks Marcel Nassar GNN 10 18 0 17 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lió GNN 17 257 0 03 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 76 1,650 0 14 Oct 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 11 76 0 17 Sep 2018