FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

30 January 2018

Papers citing "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling"

50 / 696 papers shown

Title
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 162 1,507 0 04 Jul 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 70 30 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 173 376 0 03 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 86 56 0 29 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Helen Zhou 138 93 0 26 Jun 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 57 3 0 26 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 101 88 0 24 Jun 2020
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View Shen Wang Jibing Gong Jinlong Wang Wenzheng Feng Hao Peng Jie Tang Philip S. Yu AI4Ed HAI 56 133 0 23 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 123 37 0 18 Jun 2020
On the Learnability of Concepts: With Applications to Comparing Word Embedding Algorithms Adam Sutton N. Cristianini 52 8 0 17 Jun 2020
Relational Fusion Networks: Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 73 39 0 16 Jun 2020
Fast Graph Attention Networks Using Effective Resistance Based Graph Sparsification R. S. Srinivasa Cao Xiao Lucas Glass Justin Romberg Jimeng Sun GNN 66 28 0 15 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 273 442 0 13 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 159 418 0 11 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 112 48 0 10 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 28 1 0 07 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 86 823 0 07 Jun 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling Arman Hasanzadeh Ehsan Hajiramezanali Shahin Boluki Mingyuan Zhou N. Duffield Krishna R. Narayanan Xiaoning Qian BDL 89 118 0 07 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao Weiping Song Haoyan Xu Zhicheng Ren Yizhou Sun 80 74 0 02 Jun 2020
Network Comparison with Interpretable Contrastive Network Representation Learning Takanori Fujiwara Jian Zhao Francine Chen Yaoliang Yu K. Ma 43 5 0 25 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 135 397 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 88 711 0 20 May 2020
Graph Neural Networks with Composite Kernels Yufan Zhou Jiayi Xian Changyou Chen Jinhui Xu GNN 36 2 0 16 May 2020
Multivariate Time Series Forecasting with Transfer Entropy Graph Ziheng Duan Haoyan Xu Yida Huang Jie Feng Pengyu Song CML BDL AI4TS 56 39 0 03 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 70 3 0 28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 160 402 0 23 Apr 2020
Scalable Attack on Graph Data by Injecting Vicious Nodes Jihong Wang Minnan Luo Fnu Suya Jundong Li Z. Yang Q. Zheng AAML GNN 87 90 0 22 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation Xiaocong Chen Chaoran Huang Lina Yao Xianzhi Wang Wei Liu Wenjie Zhang 129 36 0 17 Apr 2020
Graph Highway Networks Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose GNN 59 5 0 09 Apr 2020
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN Tingyi Wanyan Chenwei Zhang A. Azad Xiaomin Liang Daifeng Li Ying Ding 35 2 0 03 Apr 2020
Learning to Cluster Faces via Confidence and Connectivity Estimation Lei Yang Dapeng Chen Xiaohang Zhan Rui Zhao Chen Change Loy Dahua Lin 3DH GNN CVBM 46 88 0 01 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 141 58 0 01 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek Abdelzaher 93 97 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 223 82 0 30 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 112 50 0 22 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang Chuan Chen Youhao Zheng Zibin Zheng Shih-wei Liao GNN 22 1 0 21 Mar 2020
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations Xiaoming Liu Qirui Li Chao Shen Xi Peng Yadong Zhou X. Guan GNN SSL 46 0 0 13 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 93 12 0 04 Mar 2020
Self-Supervised Graph Representation Learning via Global Context Prediction Zhen Peng Yixiang Dong Minnan Luo Xiao-Ming Wu Q. Zheng SSL 110 65 0 03 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 296 1,217 0 03 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 87 46 0 27 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 127 25 0 19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 94 32 0 17 Feb 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 346 1,131 0 13 Feb 2020
Bilinear Graph Neural Network with Neighbor Interactions Hongmin Zhu Fuli Feng Xiangnan He Xiang Wang Yan Li Kai Zheng Yongdong Zhang 27 3 0 10 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 120 32 0 09 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks Shushan Arakelyan Sima Arasteh Christophe Hauser Erik Kline Aram Galstyan 78 20 0 09 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 81 6 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information Maximization Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Tingyang Xu Junzhou Huang SSL 146 583 0 04 Feb 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network Jiaming Shen Zhihong Shen Chenyan Xiong Chi Wang Kuansan Wang Jiawei Han 83 78 0 26 Jan 2020