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 / 696 papers shown

Title
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 109 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 97 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 Tengjiao Wang 72 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 42 0 0 19 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 94 18 0 17 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 68 98 0 15 Apr 2021
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks Vasimuddin Sanchit Misra Guixiang Ma Ramanarayan Mohanty E. Georganas A. Heinecke Dhiraj D. Kalamkar Nesreen Ahmed Sasikanth Avancha GNN 74 125 0 14 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning Shiyi Chen Ziao Wang Xinni Zhang Xiaofeng Zhang Dan Peng SSL 56 1 0 13 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 59 0 0 12 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 35 6 0 12 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 36 3 0 09 Apr 2021
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network Zeyu Cui Zekun Li Shu Wu Xiaoyu Zhang Qiang Liu Liang Wang Mengmeng Ai GNN 60 12 0 07 Apr 2021
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks Claudio Bellei Hussain Alattas N. Kaaniche GNN 54 9 0 05 Apr 2021
Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning Tong Chen Hongzhi Yin Jie Ren Zi Huang Xiangliang Zhang Hao Wang 33 4 0 04 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 86 35 0 03 Apr 2021
Learning on heterogeneous graphs using high-order relations See Hian Lee Feng Ji Wee Peng Tay 50 4 0 29 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 102 44 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 79 34 0 26 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf 104 56 0 24 Mar 2021
$Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes$ Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes Shuai Shen Wanhua Li Zheng Zhu Guan Huang Dalong Du Jiwen Lu Jie Zhou CVBM GNN 93 39 0 24 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence Nitika Verma A. Boukhayma Jakob Verbeek Edmond Boyer 3DH 30 5 0 23 Mar 2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 73 45 0 20 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 111 415 0 17 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng Zhang Zengfeng Huang David Wipf 99 83 0 10 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Xiwei Xu GNN 66 28 0 07 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 37 11 0 05 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 100 69 0 04 Mar 2021
On the Importance of Sampling in Training GCNs: Tighter Analysis and Variance Reduction Weilin Cong M. Ramezani M. Mahdavi 62 5 0 03 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 129 24 0 01 Mar 2021
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction Jakob Meldgaard Kjær Lasse Kristensen Mads Alberg Christensen GNN AI4TS 28 1 0 26 Feb 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 46 6 0 25 Feb 2021
Pre-Training on Dynamic Graph Neural Networks Ke-Jia Chen Jiajun Zhang Linpu Jiang Yunyun Wang Yuxuan Dai AI4CE 79 15 0 24 Feb 2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks Xinyang Zhang Chenwei Zhang Xin Luna Dong Jingbo Shang Jiawei Han 65 18 0 23 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 116 84 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 120 9 0 20 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 50 9 0 20 Feb 2021
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization Jia Bi S. Gunn 44 2 0 19 Feb 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 117 9 0 17 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 78 0 0 17 Feb 2021
A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images Junzheng Wu Biao Li Yao Qin W. Ni Han Zhang Yuli Sun 71 59 0 16 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 65 22 0 08 Feb 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 51 7 0 19 Jan 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 108 15 0 18 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Mengying Guo Tao Yi Yuqing Zhu Yungang Bao 57 9 0 16 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 78 5 0 14 Jan 2021
geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification Weipeng Jing Xianyang Song Donglin Di Haoze Song GNN 49 10 0 13 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 74 36 0 07 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 88 12 0 30 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 54 1 0 28 Dec 2020