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 / 694 papers shown

Title
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 21 367 0 03 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lió GNN 36 54 0 29 Jun 2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks Kwei-Herng Lai Daochen Zha Kaixiong Zhou Xia Hu 21 90 0 26 Jun 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 30 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 27 84 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 17 132 0 23 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 26 36 0 18 Jun 2020
Relational Fusion Networks: Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 14 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 13 28 0 15 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 19 431 0 13 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 30 407 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 29 47 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 19 1 0 07 Jun 2020
Deep Graph Contrastive Representation Learning Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang SSL 12 792 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 15 116 0 07 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao Weiping Song Haoyan Xu Zhicheng Ren Yizhou Sun 19 71 0 02 Jun 2020
Network Comparison with Interpretable Contrastive Network Representation Learning Takanori Fujiwara Jian Zhao Francine Chen Yaoliang Yu K. Ma 23 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 26 387 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 11 687 0 20 May 2020
Graph Neural Networks with Composite Kernels Yufan Zhou Jiayi Xian Changyou Chen Jinhui Xu GNN 10 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 27 36 0 03 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 16 3 0 28 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 19 392 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 19 85 0 22 Apr 2020
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation Xiaocong Chen Chaoran Huang Lina Yao Xianzhi Wang Wei Liu Wenjie Zhang 12 35 0 17 Apr 2020
Graph Highway Networks Xin Xin Alexandros Karatzoglou Ioannis Arapakis J. Jose GNN 23 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 17 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 13 87 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 49 57 0 01 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek F. Abdelzaher 26 91 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 101 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 65 47 0 22 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang Chuan Chen Youhao Zheng Zibin Zheng Shih-wei Liao GNN 15 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 20 0 0 13 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 27 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 14 64 0 03 Mar 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,170 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 29 45 0 27 Feb 2020
Residual Correlation in Graph Neural Network Regression J. Jia Austin R. Benson 25 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 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 1,080 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 10 3 0 10 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 22 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 22 18 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 21 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 47 566 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 27 74 0 26 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 30 287 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 14 125 0 31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 45 277 0 29 Dec 2019