Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

10 April 2017

Papers citing "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"

18 / 518 papers shown

Title
Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) F. Groh P. Wieschollek Hendrik P. A. Lensch 3DPC 16 107 0 20 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis Jiaxin Li Ben M. Chen Gim Hee Lee 3DPC 36 935 0 12 Mar 2018
Matching Convolutional Neural Networks without Priors about Data Carlos Lassance Jean-Charles Vialatte Vincent Gripon GNN MedIm 35 6 0 27 Feb 2018
Spectrally approximating large graphs with smaller graphs Andreas Loukas P. Vandergheynst 19 104 0 21 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 47 740 0 20 Feb 2018
Semi-Supervised Learning on Graphs Based on Local Label Distributions Evgheniy Faerman Felix Borutta Julian Busch Matthias Schubert 41 7 0 15 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 49 837 0 09 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 173 6,048 0 24 Jan 2018
Multi-Objective De Novo Drug Design with Conditional Graph Generative Model Yibo Li L. Zhang Zhenming Liu 43 337 0 18 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 26 747 0 10 Jan 2018
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Yaoqing Yang Chen Feng Yiru Shen Dong Tian 3DPC 40 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 35 33 0 19 Dec 2017
Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs Loic Landrieu M. Simonovsky GNN 3DPC 94 1,242 0 27 Nov 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 36 438 0 24 Nov 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 35 300 0 28 Oct 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural Network Ruoyu Li Junzhou Huang GNN 33 7 0 10 Aug 2017
Graph Convolution: A High-Order and Adaptive Approach Zhenpeng Zhou Xiaocheng Li GNN 22 22 0 29 Jun 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Roman Klokov Victor Lempitsky 3DV 35 981 0 04 Apr 2017