Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

30 June 2016

Papers citing "Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering"

50 / 861 papers shown

Title
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 6 276 0 17 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
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 19 132 0 12 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 9 15 0 12 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 23 1,341 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 22 12 0 08 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Meimei Liu Zhengwu Zhang David B. Dunson 8 4 0 07 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 16 943 0 06 Nov 2019
Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks Pavan Kapanipathi Veronika Thost S. Patel Spencer Whitehead Ibrahim Abdelaziz ... R. Chulaka Gunasekara B. Makni Nicholas Mattei Kartik Talamadupula Achille Fokoue 34 45 0 05 Nov 2019
A Spectral Nonlocal Block for Neural Networks Lei Zhu Qi She Lidan Zhang Ping Guo 18 2 0 04 Nov 2019
Hyperbolic Graph Neural Networks Qi Liu Maximilian Nickel Douwe Kiela AI4CE GNN 13 369 0 28 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 48 685 0 28 Oct 2019
Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes Greg Yang 33 189 0 28 Oct 2019
JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation Zhiwei Liu Lei Zheng Jiawei Zhang Jiayu Han Philip S. Yu 16 26 0 18 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
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 17 14 0 10 Oct 2019
A Simple Proof of the Universality of Invariant/Equivariant Graph Neural Networks Takanori Maehara Hoang NT 11 29 0 09 Oct 2019
Graph-based Spatial-temporal Feature Learning for Neuromorphic Vision Sensing Yin Bi Aaron Chadha Alhabib Abbas Eirina Bourtsoulatze Y. Andreopoulos 9 26 0 08 Oct 2019
Generating valid Euclidean distance matrices Moritz Hoffmann Frank Noé 14 56 0 07 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng-Long Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 45 162 0 07 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 20 262 0 06 Oct 2019
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction Maosen Li Siheng Chen Xu Chen Ya-Qin Zhang Yanfeng Wang D. Ebert 3DH 19 183 0 05 Oct 2019
Layout-Graph Reasoning for Fashion Landmark Detection Weijiang Yu Xiaodan Liang Ke Gong R. Coelho Nong Xiao Liang Lin 13 36 0 04 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 21 3 0 03 Oct 2019
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging Jiaming Guo Wei Qiu Xiang Li Xuandong Zhao Ning Guo Quanzheng Li MedIm 19 20 0 01 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
Semi-supervised classification on graphs using explicit diffusion dynamics Robert L. Peach Alexis Arnaudon Mauricio Barahona GNN DiffM 16 15 0 24 Sep 2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds Huan Lei Naveed Akhtar Ajmal Saeed Mian 3DPC 19 166 0 20 Sep 2019
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities Devanshu Arya S. Rudinac M. Worring 16 11 0 19 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 58 178 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 11 5 0 06 Sep 2019
Variational Graph Recurrent Neural Networks Ehsan Hajiramezanali Arman Hasanzadeh N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 20 184 0 26 Aug 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 16 67 0 17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning Zhijiang Guo Yan Zhang Zhiyang Teng Wei Lu GNN 14 130 0 16 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 27 80 0 14 Aug 2019
Mesh Variational Autoencoders with Edge Contraction Pooling Yu-Jie Yuan Yu-Kun Lai J. Yang Hongbo Fu Lin Gao 3DPC 24 31 0 07 Aug 2019
Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning Jiwoong Park Minsik Lee H. Chang Kyuewang Lee J. Choi SSL 21 231 0 07 Aug 2019
Point Cloud Super Resolution with Adversarial Residual Graph Networks Huikai Wu Junge Zhang Kaiqi Huang 3DPC 6 47 0 06 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
Expressive Graph Informer Networks Jaak Simm Adam Arany E. Brouwer Yves Moreau GNN 12 2 0 25 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
EEG-Based Emotion Recognition Using Regularized Graph Neural Networks Peixiang Zhong Di Wang C. Miao 23 513 0 18 Jul 2019
k-hop Graph Neural Networks Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 16 104 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava R. Kannan Viktor Prasanna GNN 55 948 0 10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 17 57 0 05 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional Networks Daniel Zügner Stephan Günnemann OffRL 31 159 0 28 Jun 2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization Pengfei Chen Weiwen Liu Chang-Yu Hsieh Guangyong Chen Shengyu Zhang 9 21 0 13 Jun 2019