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
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 110 296 0 07 Jan 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 66 130 0 31 Dec 2019
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 135 281 0 29 Dec 2019
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 71 25 0 24 Dec 2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis Hao Du Jiashi Feng Mengling Feng 160 13 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 16 0 0 12 Dec 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 107 285 0 17 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 117 138 0 12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 86 31 0 11 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 154 1,399 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark Coates BDL GNN 75 12 0 08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing Shikhar Vashishth GNN 63 9 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 159 989 0 06 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 81 43 0 04 Nov 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 77 25 0 27 Oct 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark Coates BDL GNN 63 13 0 26 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 68 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 49 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 65 3 0 16 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 47 14 0 10 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 64 24 0 06 Oct 2019
Learning Robust Representations with Graph Denoising Policy Network Lu Wang Wenchao Yu Wei Wang Wei Cheng Wei Zhang H. Zha Xiaofeng He Haifeng Chen OOD 52 27 0 04 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 36 0 0 26 Sep 2019
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 87 15 0 25 Sep 2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze Yong Chen Congcong Liu Ming-Yuan Liu Bertram E. Shi GNN HAI 83 123 0 23 Sep 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 103 481 0 07 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 113 94 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 305 763 0 03 Sep 2019
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks Shengwen Liang Ying Wang Cheng Liu Lei He Huawei Li Xiaowei Li GNN 91 136 0 31 Aug 2019
Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 58 47 0 30 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 96 83 0 14 Aug 2019
HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction Raehyun Kim Chan Ho So Minbyul Jeong Sanghoon Lee Jinkyu Kim Jaewoo Kang AIFin 97 128 0 07 Aug 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics Mark Weber Giacomo Domeniconi Jie Chen D. Weidele Claudio Bellei Tom Robinson C. E. Leiserson 76 329 0 31 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 119 1,353 0 25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KyungHyun Kim Donghyun Kwak Hanock Kwak Young-Jin Park Sangkwon Sim Jae-Han Cho Minkyu Kim Jihun Kwon Nako Sung Jung-Woo Ha 71 19 0 24 Jul 2019
Tackling Graphical NLP problems with Graph Recurrent Networks Linfeng Song GNN 34 1 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 143 970 0 10 Jul 2019
Fast Haar Transforms for Graph Neural Networks Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 83 76 0 10 Jul 2019
Label-Aware Graph Convolutional Networks Hao Chen Yue Xu Lu Wang Dijun Luo Wenbing Huang Senzhang Wang Peng He Zhoujun Li 55 8 0 10 Jul 2019
Dimensional Reweighting Graph Convolutional Networks Xu Zou Qiuye Jia Jianwei Zhang Chang Zhou Hongxia Yang Jie Tang GNN 53 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 30 6 0 02 Jul 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs Chaoyang He Tian Xie Yu Rong Wenbing Huang Junzhou Huang Xiang Ren Cyrus Shahabi 38 5 0 27 Jun 2019
ANAE: Learning Node Context Representation for Attributed Network Embedding Keting Cen Huawei Shen Jinhua Gao Qi Cao Bingbing Xu Xueqi Cheng GNN 55 1 0 20 Jun 2019
Identifying Illicit Accounts in Large Scale E-payment Networks -- A Graph Representation Learning Approach D. Tam Wing Cheong Lau Bin Hu Qiufang Ying D. Chiu Hong Liu GNN 76 21 0 13 Jun 2019
Redundancy-Free Computation Graphs for Graph Neural Networks Zhihao Jia Sina Lin Rex Ying Jiaxuan You J. Leskovec Alexander Aiken GNN 52 11 0 09 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 86 157 0 05 Jun 2019
Learning to Route in Similarity Graphs Dmitry Baranchuk Dmitry Persiyanov A. Sinitsin Artem Babenko 47 37 0 27 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link Prediction Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 97 100 0 23 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 76 158 0 21 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 160 1,290 0 20 May 2019