Large-Scale Learnable Graph Convolutional Networks

12 August 2018

Papers citing "Large-Scale Learnable Graph Convolutional Networks"

45 / 195 papers shown

Title
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 17 11 0 28 Feb 2020
Dual Graph Representation Learning Huiling Zhu Xin Luo Hankui Zhuo GNN 14 0 0 25 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 169 1,085 0 13 Feb 2020
MONSTOR: An Inductive Approach for Estimating and Maximizing Influence over Unseen Networks Jihoon Ko Kyuhan Lee Kijung Shin Noseong Park 20 3 0 24 Jan 2020
Attributed Multi-Relational Attention Network for Fact-checking URL Recommendation Di You Nguyen Vo Kyumin Lee Qiang Liu HAI GNN KELM 12 22 0 07 Jan 2020
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 21 77 0 25 Dec 2019
Graph Convolutional Networks: analysis, improvements and results I. Ullah M. Manzo M. Shah Michael G. Madden GNN 24 51 0 19 Dec 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Tianlin Li Shu Wu Zhitao Xiao 30 94 0 26 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu Yanqiao Zhu Shu Wu Weiran Huang Liang Wang Tieniu Tan GNN 27 47 0 05 Nov 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 22 80 0 25 Oct 2019
Feature Selection and Extraction for Graph Neural Networks D. Acharya Huaming Zhang 16 28 0 23 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 38 151 0 17 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh V. Chawla Z. Li 56 162 0 07 Oct 2019
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai Bo Yan Gengchen Mai K. Janowicz Rui Zhu GNN 22 75 0 01 Oct 2019
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network Sheng Wan Chen Gong P. Zhong Shirui Pan Guangyu Li Jian Yang 26 144 0 26 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
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 61 178 0 07 Sep 2019
Graph Representation Learning: A Survey Fenxiao Chen Yun Cheng Wang Bin Wang C.-C. Jay Kuo GNN AI4TS 30 202 0 03 Sep 2019
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing Tong Geng Ang Li Runbin Shi Chunshu Wu Tianqi Wang ... Pouya Haghi Antonino Tumeo Shuai Che Steve Reinhardt Martin C. Herbordt GNN 27 8 0 23 Aug 2019
Transferring Robustness for Graph Neural Network Against Poisoning Attacks Xianfeng Tang Yandong Li Yiwei Sun Huaxiu Yao P. Mitra Suhang Wang OOD AAML 27 181 0 20 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 42 1,313 0 25 Jul 2019
DeepTrax: Embedding Graphs of Financial Transactions C. Bayan Bruss Anish Khazane Jonathan Rider R. Serpe Antonia Gogoglou Keegan E. Hines AIFin GNN 32 43 0 16 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 953 0 10 Jul 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 25 57 0 05 Jul 2019
Dimensional Reweighting Graph Convolutional Networks Xu Zou Qiuye Jia Jianwei Zhang Chang Zhou Hongxia Yang Jie Tang GNN 28 8 0 04 Jul 2019
Structure fusion based on graph convolutional networks for semi-supervised classification Guangfeng Lin Jing Wang Kaiyang Liao Fan Zhao Wanjun Chen 16 6 0 02 Jul 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 33 46 0 21 Jun 2019
Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification Sheng Wan Chen Gong P. Zhong Bo Du Lefei Zhang Jian Yang 24 360 0 14 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 36 1,066 0 11 May 2019
Graph Convolutional Networks with EigenPooling Yao Ma Suhang Wang Charu C. Aggarwal Jiliang Tang GNN 37 331 0 30 Apr 2019
GraphNAS: Graph Neural Architecture Search with Reinforcement Learning Yang Gao Hong Yang Peng Zhang Chuan Zhou Yue Hu AI4CE GNN 20 100 0 22 Apr 2019
Graph-Based Method for Anomaly Prediction in Brain Network Jalal Mirakhorli H. Amindavar Mojgan Mirakhorli MedIm 18 1 0 15 Apr 2019
Adaptively Connected Neural Networks Guangrun Wang Keze Wang Liang Lin 23 47 0 07 Apr 2019
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling Ting Yu Haoteng Yin Zhanxing Zhu AI4TS GNN 21 55 0 13 Mar 2019
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure Fuli Feng Xiangnan He Jie Tang Tat-Seng Chua OOD AAML 34 219 0 20 Feb 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 20 7 0 13 Feb 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 163 8,385 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 33 5,406 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 54 1,321 0 11 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings Hao Yu Vivek Kulkarni Wei Wang 14 2 0 01 Nov 2018
Accurate, Efficient and Scalable Graph Embedding Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 20 73 0 28 Oct 2018
Smoothed Dilated Convolutions for Improved Dense Prediction Zhengyang Wang Shuiwang Ji 27 160 0 27 Aug 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,929 0 17 Aug 2015