GraphSAINT: Graph Sampling Based Inductive Learning Method

10 July 2019

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

50 / 542 papers shown

Title
Privileged Graph Distillation for Cold Start Recommendation Shuai Wang Kun Zhang Le Wu Haiping Ma Richang Hong Meng Wang 10 28 0 31 May 2021
How effective are Graph Neural Networks in Fraud Detection for Network Data? Ronald D. R. Pereira Fabrício Murai GNN 12 7 0 30 May 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 12 1,002 0 30 May 2021
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction A. Feeney Rishabh Gupta Veronika Thost Rico Angell Gayathri Chandu Yash Adhikari Tengfei Ma 9 11 0 28 May 2021
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework Junxiang Wang Hongyi Li Zheng Chai Yongchao Wang Yue Cheng Liang Zhao MQ 13 3 0 20 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 8 11 0 18 May 2021
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings Athanasios Efthymiou S. Rudinac Monika Kackovic M. Worring N. Wijnberg 14 11 0 17 May 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 20 33 0 14 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng R. Kannan Viktor Prasanna GNN 11 64 0 10 May 2021
Graph Feature Gating Networks Wei Jin Xiaorui Liu Yao Ma Tyler Derr Charu C. Aggarwal Jiliang Tang 27 0 0 10 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 22 7 0 09 May 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 34 23 0 05 May 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 61 8 0 21 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 42 11 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 11 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 14 0 0 19 Apr 2021
Fair Representation Learning for Heterogeneous Information Networks Ziqian Zeng Rashidul Islam Kamrun Naher Keya James R. Foulds Yangqiu Song Shimei Pan 19 40 0 18 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 19 90 0 14 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 11 6 0 12 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 32 32 0 03 Apr 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 6 135 0 27 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 8 39 0 27 Mar 2021
Structure Inducing Pre-Training Matthew B. A. McDermott Brendan Yap Peter Szolovits Marinka Zitnik 30 17 0 18 Mar 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs Weihua Hu Matthias Fey Hongyu Ren Maho Nakata Yuxiao Dong J. Leskovec AI4CE 19 391 0 17 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Mingyu Yan Lei Deng Guoqi Li Xiaochun Ye Dongrui Fan GNN 21 95 0 10 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction Weilin Cong M. Ramezani M. Mahdavi 16 5 0 03 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 40 24 0 01 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 11 16 0 01 Mar 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 21 277 0 27 Feb 2021
Pre-Training on Dynamic Graph Neural Networks Ke-Jia Chen Jiajun Zhang Linpu Jiang Yunyun Wang Yuxuan Dai AI4CE 11 15 0 24 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 6 323 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 30 77 0 22 Feb 2021
GIST: Distributed Training for Large-Scale Graph Convolutional Networks Cameron R. Wolfe Jingkang Yang Arindam Chowdhury Chen Dun Artun Bayer Santiago Segarra Anastasios Kyrillidis BDL GNN LRM 31 9 0 20 Feb 2021
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning Elan Markowitz Keshav Balasubramanian Mehrnoosh Mirtaheri Sami Abu-El-Haija Bryan Perozzi Greg Ver Steeg Aram Galstyan 12 22 0 08 Feb 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 14 65 0 02 Feb 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation Cheng-Mao Hsu Cheng-Te Li 6 69 0 29 Jan 2021
PyTorch-Direct: Enabling GPU Centric Data Access for Very Large Graph Neural Network Training with Irregular Accesses S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN AI4CE 18 24 0 20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 6 6 0 19 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 11 35 0 07 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl S. Zafeiriou GNN AI4CE 11 48 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 15 11 0 30 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 14 3 0 20 Dec 2020
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 8 5 0 19 Dec 2020
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen Yankai Lin Lei Li Xuancheng Ren Peng Li Jie Zhou Xu Sun 22 5 0 14 Dec 2020
GNNUnlock: Graph Neural Networks-based Oracle-less Unlocking Scheme for Provably Secure Logic Locking Lilas Alrahis Satwik Patnaik Faiq Khalid Muhammad Abdullah Hanif H. Saleh Muhammad Shafique Ozgur Sinanoglu 17 45 0 10 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 6 23 0 02 Dec 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 6 4 0 22 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs Lingfan Yu Jiajun Shen Jinyang Li Adam Lerer GNN 30 49 0 19 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 6 256 0 13 Nov 2020