GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

Papers citing "GraphSAINT: Graph Sampling Based Inductive Learning Method"

42 / 542 papers shown

Title
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 8 142 0 29 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 10 283 0 27 Oct 2020
Robust Optimization as Data Augmentation for Large-scale Graphs Kezhi Kong G. Li Mucong Ding Zuxuan Wu Chen Zhu Bernard Ghanem Gavin Taylor Tom Goldstein 87 74 0 19 Oct 2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research Gavin Hartnett R. Vardavas Lawrence Baker Michael Chaykowski C. Gibson F. Girosi David Kennedy Osonde A. Osoba 6 2 0 15 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 8 53 0 15 Oct 2020
Accurate, Efficient and Scalable Training of Graph Neural Networks Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava R. Kannan Viktor Prasanna GNN 6 8 0 05 Oct 2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization Yue Yu Kexin Huang Chao Zhang Lucas Glass Jimeng Sun Cao Xiao 12 119 0 04 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 12 224 0 30 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 19 167 0 22 Sep 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lió GNN 23 34 0 19 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie X. Li Hang Liu 12 58 0 18 Sep 2020
Force2Vec: Parallel force-directed graph embedding Md. Khaledur Rahman Majedul Haque Sujon A. Azad GNN 9 18 0 17 Sep 2020
gIM: GPU Accelerated RIS-based Influence Maximization Algorithm Soheil Shahrouz Saber Salehkaleybar Matin Hashemi 10 11 0 15 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 6 75 0 14 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 14 733 0 08 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao S. Scherer CLL GNN AI4CE 18 50 0 01 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 15 12 0 31 Aug 2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters Yingtong Dou Zhiwei Liu Li Sun Yutong Deng Hao Peng Philip S. Yu AAML 11 446 0 19 Aug 2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks Shyam A. Tailor Javier Fernandez-Marques Nicholas D. Lane GNN MQ 8 132 0 11 Aug 2020
Graph Convolutional Networks for Hyperspectral Image Classification Danfeng Hong Lianru Gao Jing Yao Bing Zhang Antonio J. Plaza Jocelyn Chanussot 6 1,077 0 06 Aug 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 22 18 0 30 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 13 36 0 25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 19 84 0 24 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 10 132 0 18 Jun 2020
Sequential Graph Convolutional Network for Active Learning Razvan Caramalau Binod Bhattarai Tae-Kyun Kim GNN 8 117 0 18 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 9 286 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 6 702 0 14 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 26 161 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Bernard Ghanem GNN 6 430 0 13 Jun 2020
Inductive Graph Neural Networks for Spatiotemporal Kriging Yuankai Wu Dingyi Zhuang A. Labbe Lijun Sun AI4CE 9 141 0 13 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Zhiqiang Zhang Jun Zhou Shuang Yang Le Song Yuan Qi 20 47 0 10 Jun 2020
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu Hao Chen Zengde Deng Junxiong Zhu Yanghua Li Peng He Wen-yuan Gao Wenjun Xu GNN 6 1 0 07 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,634 0 02 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 19 391 0 23 Apr 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 12 29 0 17 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 6 128 0 11 Feb 2020
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms Hanqing Zeng Viktor Prasanna GNN 6 124 0 31 Dec 2019
Hyperbolic Graph Attention Network Yiding Zhang Xiao Wang Xunqiang Jiang C. Shi Yanfang Ye GNN 11 128 0 06 Dec 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 177 0 07 Sep 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 12 78 0 14 Aug 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 26 5,365 0 20 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 226 1,935 0 09 Jun 2018