Semi-Supervised Classification with Graph Convolutional Networks

9 September 2016

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

50 / 7,885 papers shown

Title
MILE: A Multi-Level Framework for Scalable Graph Embedding Jiongqian Liang Saket Gurukar Srinivas Parthasarathy GNN 28 77 0 26 Feb 2018
Improving Graph Convolutional Networks with Non-Parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Danilo Comminiello A. Uncini GNN 33 7 0 26 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 36 259 0 24 Feb 2018
Reinforcement Learning on Web Interfaces Using Workflow-Guided Exploration Emmy Liu Kelvin Guu Panupong Pasupat Tianlin Shi Percy Liang OnRL 24 210 0 24 Feb 2018
Learning to Make Predictions on Graphs with Autoencoders Phi Vu Tran GNN SSL AI4CE 24 57 0 23 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 49 741 0 20 Feb 2018
Machine Learning Methods for Data Association in Multi-Object Tracking Patrick Emami P. Pardalos L. Elefteriadou Sanjay Ranka VOT 37 40 0 19 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
Edge Attention-based Multi-Relational Graph Convolutional Networks Chao Shang Qinqing Liu Ko-Shin Chen Jiangwen Sun Jin Lu Jinfeng Yi J. Bi GNN 58 93 0 14 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 22 443 0 13 Feb 2018
Reinforcement Learning for Solving the Vehicle Routing Problem M. Nazari Afshin Oroojlooy L. Snyder Martin Takáč 49 883 0 12 Feb 2018
MotifNet: a motif-based Graph Convolutional Network for directed graphs Federico Monti Karl Otness M. Bronstein GNN 37 144 0 04 Feb 2018
Complex Network Classification with Convolutional Neural Network Ruyue Xin Jiang Zhang Yi Shao GNN 38 111 0 02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 64 1,512 0 30 Jan 2018
HONE: Higher-Order Network Embeddings Ryan A. Rossi Nesreen Ahmed Eunyee Koh Sungchul Kim Anup B. Rao Yasin Abbasi-Yadkori 34 22 0 28 Jan 2018
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition Sijie Yan Yuanjun Xiong Dahua Lin GNN 124 4,118 0 23 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 117 2,788 0 22 Jan 2018
Deep learning for determining a near-optimal topological design without any iteration Yonggyun Yu Taeil Hur Jaeho Jung I. Jang 3DV 19 289 0 13 Jan 2018
Adaptive Graph Convolutional Neural Networks Ruoyu Li Sheng Wang Feiyun Zhu Junzhou Huang GNN 31 748 0 10 Jan 2018
Covariant Compositional Networks For Learning Graphs Risi Kondor H. Son Horace Pan Brandon M. Anderson Shubhendu Trivedi GNN 33 167 0 07 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
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 15 374 0 13 Dec 2017
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 27 69 0 10 Dec 2017
Deformable Shape Completion with Graph Convolutional Autoencoders Or Litany A. Bronstein M. Bronstein A. Makadia 31 223 0 01 Dec 2017
Topological Recurrent Neural Network for Diffusion Prediction Jia Wang V. Zheng Zemin Liu Kevin Chen-Chuan Chang DiffM GNN 48 171 0 28 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
Adversarial Network Embedding Quanyu Dai Qiang Li Jian Tang Dan Wang GNN GAN 43 221 0 21 Nov 2017
Residual Gated Graph ConvNets Xavier Bresson T. Laurent GNN 41 469 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 510 0 17 Nov 2017
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis Rushil Anirudh Jayaraman J. Thiagarajan R. Sridhar T. Bremer FAtt AAML 28 12 0 15 Nov 2017
Few-Shot Learning with Graph Neural Networks Victor Garcia Satorras Joan Bruna GNN 59 1,231 0 10 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 173 19,850 0 30 Oct 2017
Kernel Graph Convolutional Neural Networks Giannis Nikolentzos Polykarpos Meladianos A. Tixier Konstantinos Skianis Michalis Vazirgiannis GNN 32 60 0 29 Oct 2017
Topology Adaptive Graph Convolutional Networks Jian Du Shanghang Zhang Guanhang Wu José M. F. Moura S. Kar GNN 40 300 0 28 Oct 2017
Learning Structural Node Embeddings Via Diffusion Wavelets Claire Donnat Marinka Zitnik David Hallac J. Leskovec GNN DiffM 30 387 0 27 Oct 2017
Binary Classification from Positive-Confidence Data Takashi Ishida Gang Niu Masashi Sugiyama 38 56 0 19 Oct 2017
Learning Graph Representations with Embedding Propagation Alberto García-Durán Mathias Niepert GNN SSL 29 167 0 09 Oct 2017
Premise Selection for Theorem Proving by Deep Graph Embedding Mingzhe Wang Yihe Tang Jian Wang Jia Deng 39 132 0 28 Sep 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 58 1,783 0 22 Sep 2017
Representation Learning on Graphs: Methods and Applications William L. Hamilton Rex Ying J. Leskovec GNN 58 1,968 0 17 Sep 2017
Learning Graph-Level Representation for Drug Discovery Junying Li Deng Cai Xiaofei He GNN AI4CE 35 115 0 12 Sep 2017
Learning Graph Topological Features via GAN Weiyi Liu Hal Cooper Min Hwan Oh Fucai Yu Pin-Yu Chen Toyotaro Suzumura Guangmin Hu GAN AI4CE 45 25 0 11 Sep 2017
Semantic Preserving Embeddings for Generalized Graphs Pedro Almagro Blanco Fernando Sancho-Caparrini 26 0 0 07 Sep 2017
Learning Graph While Training: An Evolving Graph Convolutional Neural Network Ruoyu Li Junzhou Huang GNN 38 7 0 10 Aug 2017
Graph Classification with 2D Convolutional Neural Networks A. Tixier Giannis Nikolentzos Polykarpos Meladianos Michalis Vazirgiannis GNN 26 23 0 29 Jul 2017
Graph-Based Classification of Omnidirectional Images Renata Khasanova P. Frossard 32 71 0 26 Jul 2017
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking Aleksandar Bojchevski Stephan Günnemann BDL 46 640 0 12 Jul 2017
Convolutional 2D Knowledge Graph Embeddings Tim Dettmers Pasquale Minervini Pontus Stenetorp Sebastian Riedel GNN 3DV 116 2,582 0 05 Jul 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis Nitika Verma Edmond Boyer Jakob Verbeek 3DPC GNN 32 26 0 16 Jun 2017
Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs Jean-Charles Vialatte Vincent Gripon G. Coppin 34 5 0 08 Jun 2017