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 / 716 papers shown

Title
Learning to Cluster Faces via Confidence and Connectivity EstimationComputer Vision and Pattern Recognition (CVPR), 2020 Lei Yang Dapeng Chen Xiaohang Zhan Rui Zhao Chen Change Loy Dahua Lin 3DH GNN CVBM 156 96 0 01 Apr 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Luke Huan Jiawei Han AI4TS 427 58 0 01 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek Abdelzaher 234 107 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2020 Yuning You Tianlong Chen Zinan Lin Yang Shen GNN 503 88 0 30 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic GraphsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 222 61 0 22 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang Chuan Chen Youhao Zheng Zibin Zheng Shih-wei Liao GNN 100 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 101 0 0 13 Mar 2020
PushNet: Efficient and Adaptive Neural Message PassingEuropean Conference on Artificial Intelligence (ECAI), 2020 Julian Busch Jiaxing Pi T. Seidl GNN 196 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 264 70 0 03 Mar 2020
Heterogeneous Graph TransformerThe Web Conference (WWW), 2020 Ziniu Hu Yuxiao Dong Kuansan Wang Luke Huan 675 1,415 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 Bo Pan Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 254 50 0 27 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 184 26 0 19 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural NetworkIEEE International Joint Conference on Neural Network (IJCNN), 2020 Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 210 37 0 17 Feb 2020
Geom-GCN: Geometric Graph Convolutional NetworksInternational Conference on Learning Representations (ICLR), 2020 Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 631 1,335 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 255 3 0 10 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 189 34 0 09 Feb 2020
Bin2vec: Learning Representations of Binary Executable Programs for Security Tasks Shushan Arakelyan Sima Arasteh Christophe Hauser Erik Kline Aram Galstyan 221 26 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 318 6 0 05 Feb 2020
Graph Representation Learning via Graphical Mutual Information MaximizationThe Web Conference (WWW), 2020 Zhen Peng Wenbing Huang Minnan Luo Q. Zheng Yu Rong Qifeng Bai Junzhou Huang SSL 369 653 0 04 Feb 2020
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural NetworkThe Web Conference (WWW), 2020 Jiaming Shen Zhihong Shen Chenyan Xiong Chi Wang Kuansan Wang Jiawei Han 192 80 0 26 Jan 2020
HyGCN: A GCN Accelerator with Hybrid ArchitectureInternational Symposium on High-Performance Computer Architecture (HPCA), 2020 Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 219 328 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous PlatformsSymposium on Field Programmable Gate Arrays (FPGA), 2019 Hanqing Zeng Viktor Prasanna GNN 125 135 0 31 Dec 2019
A Gentle Introduction to Deep Learning for GraphsNeural Networks (NN), 2019 D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 243 303 0 29 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal TransportAAAI Conference on Artificial Intelligence (AAAI), 2019 Tengfei Ma Jie Chen 143 26 0 24 Dec 2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis Hao Du Jiashi Feng Mengling Feng 232 15 0 16 Dec 2019
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs Menghan Wang Kun Zhang Gulin Li Keping Yang Luo Si GNN 49 0 0 12 Dec 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2019 Difan Zou Ziniu Hu Yewen Wang Song Jiang Luke Huan Quanquan Gu GNN 236 320 0 17 Nov 2019
Constant Curvature Graph Convolutional NetworksInternational Conference on Machine Learning (ICML), 2019 Gregor Bachmann Gary Bécigneul O. Ganea GNN 387 155 0 12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 204 36 0 11 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic PredictionAAAI Conference on Artificial Intelligence (AAAI), 2019 Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 358 1,682 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark Coates BDL GNN 107 13 0 08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing Shikhar Vashishth GNN 247 9 0 08 Nov 2019
Graph Transformer NetworksNeural Information Processing Systems (NeurIPS), 2019 Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 558 1,190 0 06 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational AutoencodersWeb Search and Data Mining (WSDM), 2019 Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 140 45 0 04 Nov 2019
Pre-train and Learn: Preserve Global Information for Graph Neural NetworksJournal of Computational Science and Technology (JCST), 2019 Danhao Zhu Xinyu Dai Jiajun Chen 148 26 0 27 Oct 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark Coates BDL GNN 108 14 0 26 Oct 2019
Recurrent Attention Walk for Semi-supervised ClassificationWeb Search and Data Mining (WSDM), 2019 Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 164 8 0 22 Oct 2019
Heterogeneous Graph Matching Networks Shen Wang Zhengzhang Chen Xiao Yu Ding Li Jingchao Ni L. Tang Jiaping Gui Zhichun Li Haifeng Chen Philip S. Yu 90 9 0 17 Oct 2019
Dynamic Graph Convolutional Networks Using the Tensor M-Product Osman Asif Malik Shashanka Ubaru L. Horesh M. Kilmer H. Avron 234 3 0 16 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 221 15 0 10 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on GraphsNeural Information Processing Systems (NeurIPS), 2019 Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 110 24 0 06 Oct 2019
Learning Robust Representations with Graph Denoising Policy NetworkIndustrial Conference on Data Mining (IDM), 2019 Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 98 29 0 04 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 104 0 0 26 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set FunctionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019 Shupeng Gui Xiangliang Zhang Pan Zhong Delin Qu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 170 18 0 25 Sep 2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human GazeIEEE Robotics and Automation Letters (RA-L), 2019 Yong Chen Congcong Liu Ming-Yuan Liu Bertram E. Shi GNN HAI 269 140 0 23 Sep 2019
Graph Convolutional Networks for Temporal Action LocalizationIEEE International Conference on Computer Vision (ICCV), 2019 Runhao Zeng Wenbing Huang Zhuliang Yu Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 241 523 0 07 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph ConvolutionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 228 116 0 04 Sep 2019
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li ... Jiaqi Zhao Haotong Zhang Alex Smola Jinyang Li Zheng Zhang AI4CE GNN 419 820 0 03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural NetworksIEEE transactions on computers (IEEE Trans. Comput.), 2019 Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 244 153 0 31 Aug 2019
Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 149 53 0 30 Aug 2019