Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

34 / 1,084 papers shown

Title
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 17 231 0 26 Apr 2019
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition Maosen Li Siheng Chen Xu Chen Ya-Qin Zhang Yanfeng Wang Qi Tian 19 897 0 26 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng H. Meng Wen-bing Huang Junzhou Huang 9 149 0 10 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? G. Li Matthias Muller Ali K. Thabet Bernard Ghanem 3DPC GNN 22 1,326 0 07 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 16 990 0 07 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 19 48 0 31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 31 55 0 31 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 19 34 0 11 Mar 2019
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense Huijun Wu Chen Wang Y. Tyshetskiy Andrew Docherty Kai Lu Liming Zhu AAML GNN 19 5 0 05 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 14 24 0 28 Feb 2019
Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labels Ke Sun Zhouchen Lin Zhanxing Zhu SSL 25 272 0 28 Feb 2019
Disentangled Representation Learning for 3D Face Shape Zi-Hang Jiang Qianyi Wu Keyu Chen Juyong Zhang DRL 3DH CoGe CVBM 10 108 0 26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 15 62 0 25 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 11 3,109 0 19 Feb 2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning Zhiqian Chen Gaurav Kolhe S. Rafatirad Sai Manoj Pudukotai Dinakarrao Houman Homayoun Liang Zhao Chang-Tien Lu AAML 10 14 0 14 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang T. Tan GNN 11 7 0 13 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects Edward James Smith Scott Fujimoto Adriana Romero D. Meger 11 90 0 31 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 18 162 0 28 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi C. Alippi GNN 25 386 0 05 Jan 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 153 8,350 0 03 Jan 2019
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 39 1,319 0 11 Dec 2018
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 266 457 0 30 Nov 2018
Similarity Learning with Higher-Order Graph Convolutions for Brain Network Analysis Guixiang Ma Nesreen Ahmed Theodore L. Willke D. Sengupta Michael W. Cole Nicholas B. Turk-Browne Pratik Shah MedIm 6 8 0 02 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 79 1,650 0 14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 46 1,603 0 04 Oct 2018
Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning Yawei Luo T. Guan Junqing Yu Ping Liu Yi Yang SSL GNN 14 32 0 26 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 14 1,807 0 15 Sep 2018
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs N. Yadati M. Nimishakavi Prateek Yadav Vikram Nitin Anand Louis Partha P. Talukdar GNN 10 37 0 07 Sep 2018
Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator Zhiqian Chen F. Chen Rongjie Lai Xuchao Zhang Chang-Tien Lu GNN 24 6 0 30 Aug 2018
Topology and Prediction Focused Research on Graph Convolutional Neural Networks Matthew Baron GNN 15 1 0 23 Aug 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning Michael C. Kampffmeyer Yinbo Chen Xiaodan Liang Hao Wang Yujia Zhang Eric P. Xing 18 303 0 29 May 2018
Lovasz Convolutional Networks Prateek Yadav M. Nimishakavi N. Yadati Shikhar Vashishth A. Rajkumar Partha P. Talukdar GNN 20 11 0 29 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 247 3,236 0 24 Nov 2016