Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

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

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Title
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 9 3 0 23 Jun 2020
Graph Neural Networks in TensorFlow and Keras with Spektral Daniele Grattarola C. Alippi GNN 6 154 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J. Zaki 15 406 0 21 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 12 14 0 18 Jun 2020
Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering Meng Liu D. Gleich 11 13 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 17 702 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Bernard Ghanem GNN 14 431 0 13 Jun 2020
Gaussian Processes on Graphs via Spectral Kernel Learning Yin-Cong Zhi Yin Cheng Ng Xiaowen Dong 6 30 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 34 88 0 12 Jun 2020
Locally Private Graph Neural Networks Sina Sajadmanesh D. Gática-Pérez 6 119 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 8 119 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 17 29 0 08 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 19 8 0 06 Jun 2020
Understanding the Message Passing in Graph Neural Networks via Power Iteration Clustering Xue Li Yuanzhi Cheng GNN 8 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 25 1,333 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 21 384 0 22 May 2020
Graphs, Entities, and Step Mixture Kyuyong Shin Wonyoung Shin Jung-Woo Ha Sunyoung Kwon 6 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 30 2,634 0 02 May 2020
Directed Graph Convolutional Network Zekun Tong Yuxuan Liang Changsheng Sun David S. Rosenblum A. Lim BDL GNN 6 112 0 29 Apr 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
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang Ruijie Wang Shuochao Yao Shengzhong Liu Tarek F. Abdelzaher 16 91 0 30 Mar 2020
Progressive Graph Convolutional Networks for Semi-Supervised Node Classification Negar Heidari Alexandros Iosifidis GNN 8 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 50 47 0 22 Mar 2020
Unsupervised Hierarchical Graph Representation Learning by Mutual Information Maximization Fei Ding Xiaohong Zhang Justin Sybrandt Ilya Safro SSL 14 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 36 32 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 11 0 0 13 Mar 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 6 840 0 06 Mar 2020
Cross-GCN: Enhancing Graph Convolutional Network with $k$ -Order Feature Interactions Fuli Feng Xiangnan He Hanwang Zhang Tat-Seng Chua 15 11 0 05 Mar 2020
PushNet: Efficient and Adaptive Neural Message Passing Julian Busch Jiaxing Pi T. Seidl GNN 17 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 13 45 0 27 Feb 2020
Adaptive Propagation Graph Convolutional Network Indro Spinelli Simone Scardapane A. Uncini GNN 6 71 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 14 29 0 17 Feb 2020
Regularizing Semi-supervised Graph Convolutional Networks with a Manifold Smoothness Loss Qilin Li Wanquan Liu Ling Li 6 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 6 3,496 0 06 Feb 2020
Structural Deep Clustering Network Deyu Bo Xiao Wang C. Shi Meiqi Zhu Emiao Lu Peng Cui GNN 8 483 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 12 489 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 6 87 0 22 Jan 2020
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs Menghan Wang Kun Zhang Gulin Li Keping Yang Luo Si GNN 4 0 0 12 Dec 2019
Hyperbolic Graph Attention Network Yiding Zhang Xiao Wang Xunqiang Jiang C. Shi Yanfang Ye GNN 19 128 0 06 Dec 2019
On the choice of graph neural network architectures Clément Vignac Guillermo Ortiz-Jiménez P. Frossard GNN 22 9 0 13 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 14 132 0 12 Nov 2019
Certifiable Robustness to Graph Perturbations Aleksandar Bojchevski Stephan Günnemann AAML 20 122 0 31 Oct 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 20 681 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 17 23 0 27 Oct 2019
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks A. Mazari H. Sahbi GNN 17 5 0 15 Oct 2019
Effective Stabilized Self-Training on Few-Labeled Graph Data Ziang Zhou Jieming Shi Shengzhong Zhang Zengfeng Huang Qing Li 23 12 0 07 Oct 2019
Multi-scale Attributed Node Embedding Benedek Rozemberczki Carl Allen Rik Sarkar GNN 145 833 0 28 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Xia Hu GNN 56 178 0 07 Sep 2019
Context-Aware Graph Attention Networks Bo Jiang Leiling Wang Jin Tang B. Luo GNN 6 4 0 04 Sep 2019
GmCN: Graph Mask Convolutional Network A. Jung Beibei Wang Jin Tang B. Luo 13 1 0 04 Sep 2019