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

Title
AdaGCN: Adaboosting Graph Convolutional Networks into Deep ModelsInternational Conference on Learning Representations (ICLR), 2019 Ke Sun Zhanxing Zhu Zhouchen Lin GNN 263 92 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 196 153 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 236 384 0 31 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node ClassificationInternational Conference on Learning Representations (ICLR), 2019 Yu Rong Wenbing Huang Qifeng Bai Junzhou Huang 595 1,515 0 25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social RecommendationACM Conference on Recommender Systems (RecSys), 2019 KyungHyun Kim Donghyun Kwak Hanock Kwak Young-Jin Park Sangkwon Sim Jae-Han Cho Minkyu Kim Jihun Kwon Nako Sung Jung-Woo Ha 185 19 0 24 Jul 2019
Tackling Graphical NLP problems with Graph Recurrent Networks Linfeng Song GNN 152 1 0 13 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning MethodInternational Conference on Learning Representations (ICLR), 2019 Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 522 1,078 0 10 Jul 2019
Fast Haar Transforms for Graph Neural NetworksNeural Networks (NN), 2019 Ming Li Zheng Ma Yu Guang Wang Xiaosheng Zhuang 167 77 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 147 8 0 10 Jul 2019
Dimensional Reweighting Graph Convolutional Networks Xu Zou Qiuye Jia Jianwei Zhang Chang Zhou Hongxia Yang Jie Tang GNN 142 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 116 6 0 02 Jul 2019
Cascade-BGNN: Toward Efficient Self-supervised Representation Learning on Large-scale Bipartite Graphs Chaoyang He Jia Zhang Yu Rong Wenbing Huang Junzhou Huang Xiang Ren Cyrus Shahabi 86 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 130 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 146 24 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 72 11 0 09 Jun 2019
Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional NetworksNeural Information Processing Systems (NeurIPS), 2019 Sitao Luan Mingde Zhao Xiao-Wen Chang Doina Precup GNN 239 168 0 05 Jun 2019
Learning to Route in Similarity GraphsInternational Conference on Machine Learning (ICML), 2019 Dmitry Baranchuk Dmitry Persiyanov A. Sinitsin Artem Babenko 131 42 0 27 May 2019
Gravity-Inspired Graph Autoencoders for Directed Link PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019 Guillaume Salha-Galvan Stratis Limnios Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN CML 353 108 0 23 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2019 Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 189 171 0 21 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional NetworksKnowledge Discovery and Data Mining (KDD), 2019 Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 355 1,445 0 20 May 2019
Stochastic Blockmodels meet Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Nikhil Mehta Lawrence Carin Piyush Rai BDL 150 89 0 14 May 2019
A Stochastic Gradient Method with Biased Estimation for Faster Nonconvex OptimizationPacific Rim International Conference on Artificial Intelligence (PRICAI), 2019 Jia Bi S. Gunn 166 4 0 13 May 2019
Advancing GraphSAGE with A Data-Driven Node Sampling Jihun Oh Dong Wang Joan Bruna 126 32 0 29 Apr 2019
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 143 24 0 24 Apr 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 217 583 0 22 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 148 8 0 17 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 323 59 0 31 Mar 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 198 75 0 31 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 182 8 0 21 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 587 1,622 0 10 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 98 14 0 06 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic GraphsAAAI Conference on Artificial Intelligence (AAAI), 2019 A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Toyotaro Suzumura Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 353 1,281 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Ziyao Li Liang Zhang Guojie Song 116 19 0 26 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 243 38 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Jialin Li Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 211 425 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 660 3,618 0 19 Feb 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 218 173 0 28 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Juil Sock GNN 301 763 0 23 Jan 2019
Constant Time Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN 172 10 0 23 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 297 239 0 06 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 1.5K 10,150 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 2.0K 6,356 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 436 1,483 0 11 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 95 14 0 30 Nov 2018
Scalable Graph Learning for Anti-Money Laundering: A First Look Mark Weber Jie Chen Toyotaro Suzumura A. Pareja Tengfei Ma Toyotaro Suzumura Tim Kaler C. E. Leiserson Tao B. Schardl 201 115 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 185 245 0 27 Nov 2018
Temporal Graph Offset Reconstruction: Towards Temporally Robust Graph Representation Learning Stephen Bonner John Brennan Ibad Kureshi Georgios Theodoropoulos A. Mcgough B. Obara OOD 142 15 0 20 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 96 2 0 19 Nov 2018
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 282 20 0 10 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Ninad Kulkarni Vinayak A. Rao Yun Liang 299 202 0 05 Nov 2018