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"

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Title
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma Jie Chen 30 24 0 24 Dec 2019
Zoom in to where it matters: a hierarchical graph based model for mammogram analysis Hao Du Jiashi Feng Mengling Feng 22 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 14 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 25 277 0 17 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 27 132 0 12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 17 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 46 1,342 0 11 Nov 2019
Bayesian Graph Convolutional Neural Networks using Node Copying Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 33 12 0 08 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing Shikhar Vashishth GNN 17 9 0 08 Nov 2019
Graph Transformer Networks Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 72 945 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 15 43 0 04 Nov 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 21 23 0 27 Oct 2019
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning Soumyasundar Pal Florence Regol Mark J. Coates BDL GNN 11 13 0 26 Oct 2019
Recurrent Attention Walk for Semi-supervised Classification Uchenna Akujuobi Qiannan Zhang Han Yufei Xiangliang Zhang GNN 24 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 16 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 31 3 0 16 Oct 2019
Link Prediction via Graph Attention Network Weiwei Gu Fei Gao Xiaodan Lou Jiang Zhang GNN HAI 19 14 0 10 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 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 6 26 0 04 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 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 27 15 0 25 Sep 2019
Robot Navigation in Crowds by Graph Convolutional Networks with Attention Learned from Human Gaze Y. Chen Congcong Liu Ming-Yu Liu Bertram E. Shi GNN HAI 19 117 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 22 475 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 29 85 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 ... J. Zhao Haotong Zhang Alex Smola Jinyang Li Zheng-Wei Zhang AI4CE GNN 206 747 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 14 132 0 31 Aug 2019
Graph Convolutional Networks for Road Networks T. S. Jepsen Christian S. Jensen Thomas D. Nielsen GNN 9 47 0 30 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 33 80 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 23 126 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 22 317 0 31 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 22 1,308 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 13 19 0 24 Jul 2019
Tackling Graphical NLP problems with Graph Recurrent Networks Linfeng Song GNN 11 1 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 81 951 0 10 Jul 2019
Fast Haar Transforms for Graph Neural Networks Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 33 74 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 18 8 0 10 Jul 2019
Dimensional Reweighting Graph Convolutional Networks Xu Zou Qiuye Jia Jianwei Zhang Chang Zhou Hongxia Yang Jie Tang GNN 20 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 11 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 25 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 8 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 22 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 31 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 34 155 0 05 Jun 2019
Learning to Route in Similarity Graphs Dmitry Baranchuk Dmitry Persiyanov A. Sinitsin Artem Babenko 19 36 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 33 95 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 22 158 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 42 1,255 0 20 May 2019
Stochastic Blockmodels meet Graph Neural Networks Nikhil Mehta Lawrence Carin Piyush Rai BDL 35 80 0 14 May 2019
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex Optimization Jia Bi S. Gunn 17 3 0 13 May 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Kyunghyun Cho Joan Bruna 9 25 0 29 Apr 2019