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Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

Papers citing "Semi-Supervised Classification with Graph Convolutional Networks"

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Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 249 1,017 0 12 Feb 2018
The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration Yihan Gao Chao Zhang Jian-wei Peng Aditya G. Parameswaran 78 4 0 10 Feb 2018
PPFNet: Global Context Aware Local Features for Robust 3D Point Matching Haowen Deng Tolga Birdal Slobodan Ilic 3DV 3DPC 206 608 0 07 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 142 149 0 04 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song Yuan Qi GNN 352 328 0 03 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks Marinka Zitnik Monica Agrawal J. Leskovec GNN 225 1,183 0 02 Feb 2018
Complex Network Classification with Convolutional Neural Network Ruyue Xin Jiang Zhang Yi Shao GNN 115 117 0 02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 322 1,636 0 30 Jan 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 134 23 0 28 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 794 6,808 0 24 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 411 4,653 0 23 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 456 3,115 0 22 Jan 2018
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding Yu Shi Fangqiu Han Xinwei He Xinran He Carl Yang Jie Luo Jiawei Han 3DV 127 56 0 19 Jan 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 170 310 0 13 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 214 815 0 10 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 193 169 0 07 Jan 2018
Learning to Act Properly: Predicting and Explaining Affordances from Images Ching-Yao Chuang Jiaman Li Antonio Torralba Sanja Fidler 185 119 0 20 Dec 2017
FoldingNet: Point Cloud Auto-encoder via Deep Grid Deformation Yaoqing Yang Chen Feng Yiru Shen Dong Tian 3DPC 166 79 0 19 Dec 2017
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling Yiru Shen Chen Feng Yaoqing Yang Dong Tian 3DPC 142 33 0 19 Dec 2017
Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach Lei Lin Zhengbing He S. Peeta GNN 117 395 0 13 Dec 2017
PacGAN: The power of two samples in generative adversarial networks Zinan Lin A. Khetan Giulia Fanti Sewoong Oh GAN 289 356 0 12 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 110 73 0 10 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 302 234 0 01 Dec 2017
Topological Recurrent Neural Network for Diffusion Prediction Jia Wang V. Zheng Zemin Liu Kevin Chen-Chuan Chang DiffM GNN 189 188 0 28 Nov 2017
SplineCNN: Fast Geometric Deep Learning with Continuous B-Spline Kernels Matthias Fey J. E. Lenssen F. Weichert H. Müller 3DPC 300 477 0 24 Nov 2017
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 129 227 0 21 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 251 548 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 353 547 0 17 Nov 2017
Motif-based Convolutional Neural Network on Graphs Aravind Sankar Xinyang Zhang Kevin Chen-Chuan Chang GNN 214 43 0 15 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 231 12 0 15 Nov 2017
Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective Junliang Guo Linli Xu Xunpeng Huang Enhong Chen 76 1 0 11 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 289 1,315 0 10 Nov 2017
Learning flexible representations of stochastic processes on graphs Addison W. Bohannon Brian M. Sadler R. Balan GNN 93 1 0 03 Nov 2017
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 263 854 0 01 Nov 2017
Graph Attention NetworksInternational Conference on Learning Representations (ICLR), 2017 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 1.8K 23,439 0 30 Oct 2017
Kernel Graph Convolutional Neural NetworksInternational Conference on Artificial Neural Networks (ICANN), 2017 Giannis Nikolentzos Polykarpos Meladianos A. Tixier Konstantinos Skianis Michalis Vazirgiannis GNN 168 61 0 29 Oct 2017
Stochastic Training of Graph Convolutional Networks with Variance Reduction Jianfei Chen Jun Zhu Le Song GNN BDL 146 32 0 29 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 288 350 0 28 Oct 2017
Learning Structural Node Embeddings Via Diffusion WaveletsKnowledge Discovery and Data Mining (KDD), 2017 Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 182 417 0 27 Oct 2017
Sparse Diffusion-Convolutional Neural Networks James Atwood Siddharth Pal Don Towsley A. Swami GNN 83 10 0 26 Oct 2017
Watch Your Step: Learning Node Embeddings via Graph Attention Sami Abu-El-Haija Bryan Perozzi Rami Al-Rfou Alexander A. Alemi GNN 157 32 0 26 Oct 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 213 62 0 19 Oct 2017
LASAGNE: Locality And Structure Aware Graph Node Embedding Evgheniy Faerman Felix Borutta Kimon Fountoulakis Michael W. Mahoney GNN 115 18 0 17 Oct 2017
Large Scale Graph Learning from Smooth Signals Vassilis Kalofolias Nathanael Perraudin 200 86 0 16 Oct 2017
Graph Convolutional Networks for Classification with a Structured Label Space Meihao Chen Zhuoru Lin Dong Wang GNN 136 16 0 12 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 140 172 0 09 Oct 2017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec J. Qiu Yuxiao Dong Hao Ma Jian Li Kuansan Wang Jie Tang 300 952 0 09 Oct 2017
Graph Convolutional Networks for Named Entity Recognition A. Cetoli Stefano Bragaglia Andrew D. O'Harney Marc Sloan GNN 133 51 0 28 Sep 2017
Premise Selection for Theorem Proving by Deep Graph Embedding Mingzhe Wang Yihe Tang Jian Wang Gaowen Liu 161 141 0 28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 278 1,889 0 22 Sep 2017

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