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"

50 / 694 papers shown

Title
Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu AI4CE 29 19 0 30 Aug 2021
Towards Self-Explainable Graph Neural Network Enyan Dai Suhang Wang 36 84 0 26 Aug 2021
GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware Xin Liu Yurui Lai Shuhan Song Zhengyang Lv Wenming Li Guangyu Sun Xiaochun Ye Xiaochun Ye 24 13 0 26 Aug 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 27 224 0 25 Aug 2021
Jointly Learnable Data Augmentations for Self-Supervised GNNs Zekarias T. Kefato Sarunas Girdzijauskas Hannes Stärk SSL 25 4 0 23 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Bin Cui GNN 29 3 0 23 Aug 2021
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness Xin Mao Wenting Wang Yuanbin Wu Man Lan 27 26 0 11 Aug 2021
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization Wentao Zhang Zhi-Xin Yang Yexin Wang Yu Shen Yang Li Liang Wang Bin Cui 14 50 0 31 Jul 2021
Local2Global: Scaling global representation learning on graphs via local training Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Mihai Cucuringu 21 2 0 26 Jul 2021
ROD: Reception-aware Online Distillation for Sparse Graphs Wentao Zhang Yuezihan Jiang Yang Li Zeang Sheng Yu Shen Xupeng Miao Liang Wang Zhi-Xin Yang Bin Cui 24 24 0 25 Jul 2021
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu C. Aggarwal Chang-Tien Lu 53 18 0 21 Jul 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 27 25 0 20 Jul 2021
A Graph Data Augmentation Strategy with Entropy Preservation Xue Liu Dan Sun Wei Wei AAML 19 1 0 13 Jul 2021
Graph Convolution for Re-ranking in Person Re-identification Yuqi Zhang Qiang Qi Chong Liu Weihua Chen Fan Wang Hao Li Rong Jin 25 12 0 05 Jul 2021
Learning Hierarchical Graph Neural Networks for Image Clustering Yifan Xing Tong He Tianjun Xiao Yongxin Wang Yuanjun Xiong Weihao Xia David Wipf Paul Zheng-Wei Zhang Stefano Soatto 26 33 0 03 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning Chen Liu Bo-wen Li Jun Zhao Ming-shan Su Xudong Liu 8 14 0 23 Jun 2021
ConvDySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention and Convolutional Neural Networks A. Hafez Atulya Praphul Yousef Jaradt Ezani Godwin GNN 11 2 0 21 Jun 2021
Customizing Graph Neural Networks using Path Reweighting Jianpeng Chen Yujing Wang Ming Zeng Zongyi Xiang Bitan Hou Yu Tong Ole J. Mengshoel Yazhou Ren 31 2 0 21 Jun 2021
Data Augmentation for Graph Convolutional Network on Semi-Supervised Classification Zheng Tang Ziyue Qiao Xuehai Hong Yang Wang Fayaz Ali Dharejo Yuanchun Zhou Yi Du GNN 21 14 0 16 Jun 2021
Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages Yi Luo Aiguo Chen Ke Yan Ling Tian 33 15 0 16 Jun 2021
Optimizing Graph Transformer Networks with Graph-based Techniques Loc Hoang U. Agarwal G. Gill Roshan Dathathri Abhik Seal Brian Martin K. Pingali GNN 38 0 0 16 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Global Neighbor Sampling for Mixed CPU-GPU Training on Giant Graphs Jialin Dong Da Zheng Lin F. Yang Geroge Karypis GNN 14 36 0 11 Jun 2021
Simple Graph Convolutional Networks Luca Pasa Nicoló Navarin W. Erb A. Sperduti FAtt GNN 17 4 0 10 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 18 133 0 10 Jun 2021
Scaling Up Graph Neural Networks Via Graph Coarsening Zengfeng Huang Shengzhong Zhang Chong Xi T. Liu Min Zhou GNN 34 101 0 09 Jun 2021
NRGNN: Learning a Label Noise-Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs Enyan Dai Charu C. Aggarwal Suhang Wang NoLa 27 114 0 08 Jun 2021
A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps Léa Briand Guillaume Salha-Galvan Walid Bendada M. Morlon Viet-Anh Tran 23 33 0 07 Jun 2021
Training Robust Graph Neural Networks with Topology Adaptive Edge Dropping Zhangyang Gao S. Bhattacharya Leiming Zhang Rick S. Blum Alejandro Ribeiro Brian M. Sadler 40 24 0 05 Jun 2021
Interferometric Graph Transform for Community Labeling Nathan Grinsztajn Louis Leconte Philippe Preux Edouard Oyallon 32 1 0 04 Jun 2021
Low-Rank Projections of GCNs Laplacian Nathan Grinsztajn Philippe Preux Edouard Oyallon 19 1 0 04 Jun 2021
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding Yuhang Guo Xiao Luo Liang Chen Minghua Deng GNN 6 7 0 02 Jun 2021
How effective are Graph Neural Networks in Fraud Detection for Network Data? Ronald D. R. Pereira Fabrício Murai GNN 28 7 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 17 11 0 28 May 2021
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN 26 2 0 28 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson 16 178 0 27 May 2021
Revisiting 2D Convolutional Neural Networks for Graph-based Applications Yecheng Lyu Xinming Huang Ziming Zhang GNN 25 4 0 23 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 24 11 0 18 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 47 0 17 May 2021
GIPA: General Information Propagation Algorithm for Graph Learning Qinkai Zheng Houyi Li Peng Zhang Zhixiong Yang Guowei Zhang Xintan Zeng Yongchao Liu 27 9 0 13 May 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 25 75 0 10 May 2021
Accelerating Large Scale Real-Time GNN Inference using Channel Pruning Hongkuan Zhou Ajitesh Srivastava Hanqing Zeng Rajgopal Kannan Viktor Prasanna GNN 19 65 0 10 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 30 8 0 09 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Scalable Graph Neural Network Training: The Case for Sampling Marco Serafini Hui Guan GNN 41 23 0 05 May 2021
Network Embedding via Deep Prediction Model Xin Sun Zenghui Song Yongbo Yu Junyu Dong Claudia Plant Christian Boehm GNN 22 2 0 27 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 79 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 49 11 0 21 Apr 2021