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"

48 / 1,098 papers shown

Title
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification Kaisheng Gao Jing Zhang Cangqi Zhou 36 8 0 12 Jul 2019
Fast Haar Transforms for Graph Neural Networks Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 83 77 0 10 Jul 2019
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu Qi Liu Chao Wang Zhenya Huang Peize Lin Lixin He AI4CE 70 195 0 25 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 163 201 0 05 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 95 157 0 05 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction Ziniu Hu Changjun Fan Ting-Li Chen Kai-Wei Chang Yizhou Sun 63 44 0 31 May 2019
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling Emmanuel Noutahi Dominique Beaini Julien Horwood Sébastien Giguère Prudencio Tossou AI4CE 177 34 0 28 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 77 68 0 24 May 2019
Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks Dominik Alfke Martin Stoll GNN 48 3 0 24 May 2019
Learning Cross-Domain Representation with Multi-Graph Neural Network Ouyang Yi Bin Guo Xing Tang Xiuqiang He Jian Xiong Zhiwen Yu AI4CE 63 18 0 24 May 2019
Meta-GNN: On Few-shot Node Classification in Graph Meta-learning Fan Zhou Chengtai Cao Kunpeng Zhang Goce Trajcevski Ting Zhong Ji Geng 72 233 0 23 May 2019
Revisiting Graph Neural Networks: All We Have is Low-Pass Filters Hoang NT Takanori Maehara GNN 146 434 0 23 May 2019
Simulation and Augmentation of Social Networks for Building Deep Learning Models Akanda Wahid-Ul-Ashraf M. Budka Katarzyna Musial GNN 79 10 0 22 May 2019
Look Again at the Syntax: Relational Graph Convolutional Network for Gendered Ambiguous Pronoun Resolution Yinchuan Xu Junlin Yang GNN 60 21 0 21 May 2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data Patrick Ferber Tengfei Ma Siyu Huo Jie Chen Michael Katz PINN 70 5 0 15 May 2019
Inductive Matrix Completion Based on Graph Neural Networks Muhan Zhang Yixin Chen 100 238 0 26 Apr 2019
Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition Maosen Li Siheng Chen Xu Chen Ya Zhang Yanfeng Wang Qi Tian 99 914 0 26 Apr 2019
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective Jia Li Yu Rong Hong Cheng Helen Meng Wen-bing Huang Junzhou Huang 44 152 0 10 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 171 1,357 0 07 Apr 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 121 1,002 0 07 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 65 50 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 88 59 0 31 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 60 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 38 6 0 05 Mar 2019
Virtual Adversarial Training on Graph Convolutional Networks in Node Classification Ke Sun Zhouchen Lin Hantao Guo Zhanxing Zhu 89 25 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 111 276 0 28 Feb 2019
Disentangled Representation Learning for 3D Face Shape Zi-Hang Jiang Qianyi Wu Keyu Chen Juyong Zhang DRL 3DH CoGe CVBM 44 110 0 26 Feb 2019
Batch Virtual Adversarial Training for Graph Convolutional Networks Zhijie Deng Yinpeng Dong Jun Zhu GNN 99 63 0 25 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 315 3,206 0 19 Feb 2019
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning Zhiqian Chen Gaurav Kolhe S. Rafatirad Sai Manoj P D Houman Homayoun Liang Zhao Chang-Tien Lu AAML 56 14 0 14 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 56 7 0 13 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects Edward James Smith Scott Fujimoto Adriana Romero David Meger 72 91 0 31 Jan 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 95 168 0 28 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 145 401 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 855 8,650 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 1.2K 5,605 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 246 1,346 0 11 Dec 2018
Graph-Based Global Reasoning Networks Yunpeng Chen Marcus Rohrbach Zhicheng Yan Shuicheng Yan Jiashi Feng Yannis Kalantidis GNN NAI 310 460 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 82 8 0 02 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 229 1,704 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 225 1,653 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 67 33 0 26 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 125 1,836 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 192 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 72 6 0 30 Aug 2018
Topology and Prediction Focused Research on Graph Convolutional Neural Networks Matthew Baron GNN 41 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 Xing 192 306 0 29 May 2018
Lovasz Convolutional Networks Prateek Yadav M. Nimishakavi N. Yadati Shikhar Vashishth A. Rajkumar Partha P. Talukdar GNN 97 11 0 29 May 2018