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"

44 / 694 papers shown

Title
PAN: Path Integral Based Convolution for Deep Graph Neural Networks Zheng Ma Ming Li Yuguang Wang GNN 22 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 21 476 0 22 Apr 2019
Residual or Gate? Towards Deeper Graph Neural Networks for Inductive Graph Representation Learning Binxuan Huang Kathleen M. Carley GNN 11 8 0 17 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 24 48 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 39 56 0 31 Mar 2019
Equivariant Entity-Relationship Networks Devon R. Graham Junhao Wang Siamak Ravanbakhsh 16 8 0 21 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 22 1,285 0 10 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 22 14 0 06 Mar 2019
EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs A. Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura H. Kanezashi Tim Kaler Tao B. Schardl Charles E. Leisersen GNN 52 1,040 0 26 Feb 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks Ziyao Li Liang Zhang Guojie Song 11 17 0 26 Feb 2019
A Degeneracy Framework for Scalable Graph Autoencoders Guillaume Salha-Galvan Romain Hennequin Viet-Anh Tran Michalis Vazirgiannis GNN 29 36 0 23 Feb 2019
AliGraph: A Comprehensive Graph Neural Network Platform Rong Zhu Kun Zhao Hongxia Yang Wei Lin Chang Zhou Baole Ai Yong Li Jingren Zhou GNN 22 386 0 23 Feb 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 41 3,112 0 19 Feb 2019
Label Efficient Semi-Supervised Learning via Graph Filtering Qimai Li Xiao-Ming Wu Han Liu Xiaotong Zhang Zhichao Guan 29 162 0 28 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 26 612 0 23 Jan 2019
Constant Time Graph Neural Networks Ryoma Sato M. Yamada H. Kashima GNN 32 10 0 23 Jan 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks Renjie Liao Zhizhen Zhao R. Urtasun R. Zemel GNN 25 227 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 159 8,362 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 28 5,400 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 42 1,321 0 11 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 20 13 0 30 Nov 2018
Scalable Graph Learning for Anti-Money Laundering: A First Look Mark Weber Jie Chen Toyotaro Suzumura A. Pareja Tengfei Ma H. Kanezashi Tim Kaler C. E. Leiserson Tao B. Schardl 14 100 0 30 Nov 2018
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark J. Coates Deniz Üstebay GNN BDL 21 227 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 30 15 0 20 Nov 2018
Role action embeddings: scalable representation of network positions George Berry GNN 21 2 0 19 Nov 2018
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 13 16 0 10 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 18 188 0 05 Nov 2018
Accurate, Efficient and Scalable Graph Embedding Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 20 73 0 28 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 30 78 0 25 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 79 1,654 0 14 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lió Yoshua Bengio R. Devon Hjelm GNN 66 2,340 0 27 Sep 2018
CPMetric: Deep Siamese Networks for Learning Distances Between Structured Preferences Andrea Loreggia Nicholas Mattei F. Rossi K. Venable GNN 14 2 0 21 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 22 1,807 0 15 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning Wen-bing Huang Tong Zhang Yu Rong Junzhou Huang GNN 16 487 0 14 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 22 254 0 06 Sep 2018
Stochastic Gradient Descent with Biased but Consistent Gradient Estimators Jie Chen Ronny Luss 11 45 0 31 Jul 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 102 3,481 0 06 Jun 2018
Fusion Graph Convolutional Networks Priyesh Vijayan Yash Chandak Mitesh M. Khapra Srinivasan Parthasarathy B. Ravindran GNN 16 2 0 31 May 2018
Lovasz Convolutional Networks Prateek Yadav M. Nimishakavi N. Yadati Shikhar Vashishth A. Rajkumar Partha P. Talukdar GNN 20 11 0 29 May 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 25 171 0 03 Apr 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 33 570 0 20 Mar 2018
Modeling Relational Data with Graph Convolutional Networks M. Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 80 4,736 0 17 Mar 2017
A Probabilistic Framework for Location Inference from Social Media Yujie Qian Jie Tang Zhilin Yang Binxuan Huang Wei Wei Kathleen M. Carley 23 19 0 23 Feb 2017
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 251 1,811 0 25 Nov 2016