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
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 27 225 0 30 Sep 2020
C-SAW: A Framework for Graph Sampling and Random Walk on GPUs Santosh Pandey Lingda Li A. Hoisie X. Li Hang Liu 20 60 0 18 Sep 2020
Urban Traffic Flow Forecast Based on FastGCRNN Ya-Qin Zhang Mingming Lu Haifeng Li GNN AI4TS 31 20 0 17 Sep 2020
Accelerating Graph Sampling for Graph Machine Learning using GPUs Abhinav Jangda Sandeep Polisetty Arjun Guha Marco Serafini GNN 14 76 0 14 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering Chaojie Ji Hongwei Chen Ruxin Wang Yunpeng Cai Hongyan Wu 9 12 0 12 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 22 22 0 11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 27 46 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 28 742 0 08 Sep 2020
Adversarial Attack on Large Scale Graph Jintang Li Tao Xie Liang Chen Fenfang Xie Xiangnan He Zibin Zheng AAML 11 65 0 08 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 21 2 0 05 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information Enyan Dai Suhang Wang FaML 16 239 0 03 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao S. Scherer CLL GNN AI4CE 26 51 0 01 Sep 2020
Deep Neural Network for 3D Surface Segmentation based on Contour Tree Hierarchy Wenchong He Arpan Man Sainju Zhe Jiang Da Yan 10 9 0 25 Aug 2020
Graph-based Modeling of Online Communities for Fake News Detection Shantanu Chandra Pushkar Mishra H. Yannakoudakis Madhav Nimishakavi Marzieh Saeidi Ekaterina Shutova GNN 11 44 0 14 Aug 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 16 3 0 17 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 25 84 0 09 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 32 1,450 0 04 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 21 367 0 03 Jul 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 30 3 0 26 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 21 36 0 25 Jun 2020
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks Weilin Cong R. Forsati M. Kandemir M. Mahdavi 22 84 0 24 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 12 6 0 23 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks Arijit Sehanobish N. Ravindra David van Dijk SSL 20 16 0 23 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 18 134 0 18 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 34 161 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Bernard Ghanem GNN 19 431 0 13 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Zhiqiang Zhang Jun Zhou Shuang Yang Le Song Yuan Qi 29 47 0 10 Jun 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps Xianfeng Tang Yozen Liu Neil Shah Xiaolin Shi P. Mitra Suhang Wang AI4TS 25 44 0 10 Jun 2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding Zhiping Xiao Weiping Song Haoyan Xu Zhicheng Ren Yizhou Sun 17 71 0 02 Jun 2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach Le Wu Yonghui Yang Kun Zhang Richang Hong Yanjie Fu Meng Wang GNN 8 101 0 25 May 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 25 1,346 0 24 May 2020
Graph Random Neural Network for Semi-Supervised Learning on Graphs Wenzheng Feng Jie Zhang Yuxiao Dong Yu Han Huanbo Luan Qian Xu Qiang Yang Evgeny Kharlamov Jie Tang 26 387 0 22 May 2020
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks Masanobu Horie Naoki Morita Toshiaki Hishinuma Yushi Ihara Naoto Mitsume GNN 8 23 0 13 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 284 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 30 2,647 0 02 May 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 19 392 0 23 Apr 2020
Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks Chaojie Ji Ruxin Wang Hongyan Wu 23 7 0 21 Apr 2020
Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting Tanwi Mallick Prasanna Balaprakash E. Rask Jane Macfarlane GNN AI4TS 6 68 0 17 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek F. Abdelzaher 26 91 0 30 Mar 2020
L $^2$ -GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Yuning You Tianlong Chen Zhangyang Wang Yang Shen GNN 101 82 0 30 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 57 47 0 22 Mar 2020
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang Chuan Chen Youhao Zheng Zibin Zheng Shih-wei Liao GNN 10 1 0 21 Mar 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 189 914 0 02 Mar 2020
Adaptive Graph Auto-Encoder for General Data Clustering Xuelong Li Hongyuan Zhang Rui Zhang GNN AI4CE 6 80 0 20 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 19 29 0 17 Feb 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 14 128 0 11 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 21 6 0 05 Feb 2020
Node Masking: Making Graph Neural Networks Generalize and Scale Better Pushkar Mishra Aleksandra Piktus Gerard Goossen Fabrizio Silvestri AI4CE 28 14 0 17 Jan 2020
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 23 277 0 17 Nov 2019