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
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 27 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 30 0 0 19 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 28 16 0 17 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 29 96 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 33 119 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 21 1 0 13 Apr 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 33 0 0 12 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 27 6 0 12 Apr 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 18 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 12 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 27 8 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 25 4 0 04 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio Nicholas D. Lane 51 34 0 03 Apr 2021
Learning on heterogeneous graphs using high-order relations See Hian Lee Feng Ji Wee Peng Tay 30 4 0 29 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 42 40 0 27 Mar 2021
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 30 34 0 26 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng-Wei Zhang David Wipf 36 55 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 18 39 0 24 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence Nitika Verma A. Boukhayma Jakob Verbeek Edmond Boyer 3DH 24 5 0 23 Mar 2021
Recognizing Predictive Substructures with Subgraph Information Bottleneck Junchi Yu Tingyang Xu Yu Rong Yatao Bian Junzhou Huang Ran He 28 43 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 23 401 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-Wei Zhang Zengfeng Huang David Wipf 39 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 29 100 0 10 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 2021
Graph Convolutional Embeddings for Recommender Systems P. G. Duran Alexandros Karatzoglou Jordi Vitrià Xin Xin Ioannis Arapakis GNN AI4TS 25 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 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 32 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
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction Jakob Meldgaard Kjær Lasse Kristensen Mads Alberg Christensen GNN AI4TS 18 1 0 26 Feb 2021
Stochastic Aggregation in Graph Neural Networks Yuanqing Wang Theofanis Karaletsos 11 6 0 25 Feb 2021
Pre-Training on Dynamic Graph Neural Networks Ke-Jia Chen Jiajun Zhang Linpu Jiang Yunyun Wang Yuxuan Dai AI4CE 13 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 18 18 0 23 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 44 79 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 54 9 0 20 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 16 8 0 20 Feb 2021
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization Jia Bi S. Gunn 9 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 79 9 0 17 Feb 2021
Fast Graph Learning with Unique Optimal Solutions Sami Abu-El-Haija V. Crespi Greg Ver Steeg Aram Galstyan 16 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 28 58 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 22 22 0 08 Feb 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 22 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 38 14 0 18 Jan 2021
JITuNE: Just-In-Time Hyperparameter Tuning for Network Embedding Algorithms Mengying Guo Tao Yi Yuqing Zhu Yungang Bao 14 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 34 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 25 9 0 13 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 30 36 0 07 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 23 12 0 30 Dec 2020
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 117 0 16 Dec 2020
LSCALE: Latent Space Clustering-Based Active Learning for Node Classification Juncheng Liu Yiwei Wang Bryan Hooi Renchi Yang X. Xiao 36 7 0 13 Dec 2020