Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

20 May 2019

Papers citing "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"

50 / 509 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 19 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 22 0 0 19 Apr 2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks Hao Peng Ruitong Zhang Yingtong Dou Renyu Yang Jingyi Zhang Philip S. Yu 28 115 0 16 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 27 119 0 14 Apr 2021
BlockGNN: Towards Efficient GNN Acceleration Using Block-Circulant Weight Matrices Zhe Zhou Bizhao Shi Zhe Zhang Yijin Guan Guangyu Sun Guojie Luo GNN 31 32 0 13 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 19 6 0 12 Apr 2021
Do We Need Anisotropic Graph Neural Networks? Shyam A. Tailor Felix L. Opolka Pietro Lio' Nicholas D. Lane 40 34 0 03 Apr 2021
Graph Unlearning Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MU 19 137 0 27 Mar 2021
Self-supervised Graph Neural Networks without explicit negative sampling Zekarias T. Kefato Sarunas Girdzijauskas SSL 19 39 0 27 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 10 39 0 24 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 23 398 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 23 100 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
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 19 16 0 01 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 33 30 0 01 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 19 72 0 27 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 33 289 0 27 Feb 2021
Partitioned Graph Convolution Using Adversarial and Regression Networks for Road Travel Speed Prediction Jakob Meldgaard Kjær Lasse Kristensen Mads Alberg Christensen GNN AI4TS 16 1 0 26 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
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 46 9 0 20 Feb 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 31 33 0 10 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 14 22 0 08 Feb 2021
Mask-GVAE: Blind Denoising Graphs via Partition Jia Li Mengzhou Liu Honglei Zhang Pengyun Wang Yong Wen Lujia Pan Hong Cheng 21 9 0 08 Feb 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 26 24 0 20 Jan 2021
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Peng Jiang Masuma Akter Rumi GNN 14 7 0 19 Jan 2021
GraphHop: An Enhanced Label Propagation Method for Node Classification Tian Xie Bin Wang C.-C. Jay Kuo 24 36 0 07 Jan 2021
Binary Graph Neural Networks Mehdi Bahri Gaétan Bahl S. Zafeiriou GNN AI4CE 11 49 0 31 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 19 18 0 24 Dec 2020
Semi-supervised Hyperspectral Image Classification with Graph Clustering Convolutional Networks Hao Zeng Qingjie Liu Mingming Zhang Xiaoqing Han Yunhong Wang GNN 23 16 0 20 Dec 2020
Analyzing the Performance of Graph Neural Networks with Pipe Parallelism M. Dearing Xiaoyang Sean Wang GNN AI4CE 16 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
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting Mengzhang Li Zhanxing Zhu GNN AI4TS 12 745 0 15 Dec 2020
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction Junchen Ye Leilei Sun Bowen Du Yanjie Fu Hui Xiong GNN AI4TS 11 148 0 15 Dec 2020
Distributed Training of Graph Convolutional Networks using Subgraph Approximation Alexandra Angerd Keshav Balasubramanian M. Annavaram GNN 18 8 0 09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 85 115 0 08 Dec 2020
Graph Signal Recovery Using Restricted Boltzmann Machines Ankith Mohan A. Nakano Emilio Ferrara 6 4 0 20 Nov 2020
Scalable Graph Neural Networks for Heterogeneous Graphs Lingfan Yu Jiajun Shen Jinyang Li Adam Lerer GNN 30 49 0 19 Nov 2020
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks Tao Huang Yihan Zhang Jiajing Wu Junyuan Fang Zibin Zheng GNN 14 2 0 17 Nov 2020
GAIN: Graph Attention & Interaction Network for Inductive Semi-Supervised Learning over Large-scale Graphs Yunpeng Weng Xu Chen Liang Chen Wei Liu GNN 14 10 0 03 Nov 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 16 15 0 29 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 18 142 0 29 Oct 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 52 53 0 24 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 106 74 0 19 Oct 2020
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers Yuanhao Xiong Xuanqing Liu Li-Cheng Lan Yang You Si Si Cho-Jui Hsieh OOD 15 1 0 19 Oct 2020
Meta-path Free Semi-supervised Learning for Heterogeneous Networks Shin-woo Park Byunguk Bae Jinyoung Yeo Seung-won Hwang 27 1 0 18 Oct 2020
Bi-GCN: Binary Graph Convolutional Network Junfu Wang Yunhong Wang Zhen Yang Liang Yang Yuanfang Guo GNN 11 54 0 15 Oct 2020
Auto-STGCN: Autonomous Spatial-Temporal Graph Convolutional Network Search Based on Reinforcement Learning and Existing Research Results Chunnan Wang Kaixin Zhang Hongzhi Wang Bozhou Chen GNN AI4TS 20 21 0 15 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 22 119 0 04 Oct 2020