v1v2v3v4v5v6 (latest)

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

ArXiv (abs)PDF HTML

Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

50 / 881 papers shown

Title
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 153 807 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 72 2 0 05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights Yuzhou Chen Yulia R. Gel Konstantin Avrachenkov 56 7 0 04 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 89 74 0 04 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao Sebastian Scherer CLL GNN AI4CE 111 51 0 01 Sep 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 134 87 0 29 Aug 2020
Random Surfing Revisited: Generalizing PageRank's Teleportation Model A. Nikolakopoulos 40 0 0 29 Aug 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 149 612 0 18 Jul 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 61 55 0 07 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 213 1,512 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 188 377 0 03 Jul 2020
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation Songyang Zhang Han Zhang Shuguang Cui Zhi Ding GNN 55 1 0 01 Jul 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 57 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 90 38 0 25 Jun 2020
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning Hande Dong Zhaolin Ding Xiangnan He Fuli Feng Shuxian Bi OOD GNN BDL 23 3 0 23 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola Cesare Alippi GNN 184 156 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 135 420 0 21 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 259 15 0 18 Jun 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 53 13 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 315 751 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 295 443 0 13 Jun 2020
Gaussian Processes on Graphs via Spectral Kernel Learning Yin-Cong Zhi Yin Cheng Ng Xiaowen Dong 74 32 0 12 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 133 94 0 12 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 77 122 0 09 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 86 33 0 08 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 70 9 0 06 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 68 9 0 30 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 125 1,424 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 179 398 0 22 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 52 1 0 18 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 491 2,768 0 02 May 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 130 118 0 29 Apr 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 175 402 0 23 Apr 2020
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek Abdelzaher 93 98 0 30 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 68 14 0 27 Mar 2020
K-Core based Temporal Graph Convolutional Network for Dynamic Graphs Jingxin Liu Chang Xu Chang Yin Weiqiang Wu You Song GNN 112 50 0 22 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization Fei Ding Xiaohong Zhang Justin Sybrandt Ilya Safro SSL 40 6 0 18 Mar 2020
Spectral Graph Attention Network with Fast Eigen-approximation Heng Chang Yu Rong Tingyang Xu Wenbing Huang Somayeh Sojoudi Junzhou Huang Wenwu Zhu GNN 87 34 0 16 Mar 2020
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations Xiaoming Liu Qirui Li Chao Shen Xi Peng Yadong Zhou X. Guan GNN SSL 60 0 0 13 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 199 881 0 06 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 106 11 0 05 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 106 12 0 04 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 87 46 0 27 Feb 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 104 79 0 24 Feb 2020
Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang GNN 99 32 0 17 Feb 2020
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss Qilin Li Wanquan Liu Ling Li 32 0 0 11 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 213 3,733 0 06 Feb 2020
Structural Deep Clustering Network Deyu Bo Xiao Wang C. Shi Meiqi Zhu Emiao Lu Peng Cui GNN 121 512 0 05 Feb 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach Lei Chen Le Wu Richang Hong Kun Zhang Meng Wang GNN 105 505 0 28 Jan 2020
Adversarial Attack on Community Detection by Hiding Individuals Jia Li Honglei Zhang Zhichao Han Yu Rong Hong Cheng Junzhou Huang AAML 75 87 0 22 Jan 2020