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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GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 11 84 0 31 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 47 197 0 28 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 20 53 0 27 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 51 51 0 21 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations J. Jia Austin R. Benson 19 28 0 19 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 87 554 0 04 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 15 12 0 30 Dec 2020
Signed Graph Diffusion Network Jinhong Jung Jaemin Yoo U. Kang GNN DiffM 18 16 0 28 Dec 2020
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training Yongkang Liu Shi Feng Daling Wang Kaisong Song Feiliang Ren Yifei Zhang LRM 11 20 0 21 Dec 2020
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Mo Cheng Yinan Shan Yang Zhao Ce Zhang 19 8 0 20 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 23 113 0 16 Dec 2020
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu Yizhou Sun Xin Jiang Yanhao Wang Yang Yang Chunping Wang Jiangang Lu AAML 21 14 0 12 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 18 8 0 07 Dec 2020
Revisiting graph neural networks and distance encoding from a practical view Haoteng Yin Yanbang Wang Pan Li AI4CE 21 5 0 22 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 11 4 0 22 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 6 1,169 0 04 Nov 2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex Roman Kern D. Helic AI4MH 11 4 0 30 Oct 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 6 71 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 13 142 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 10 44 0 28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 12 283 0 27 Oct 2020
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering Shih-Gu Huang M. Chung A. Qiu Alzheimer's Disease Neuroimaging Initiative 22 11 0 26 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 222 0 24 Oct 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Xingliang Yuan MIACV MLAU 47 53 0 24 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 14 101 0 23 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 10 61 0 22 Oct 2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma B. Chang Xuefei Zhang Qiaozhu Mei 26 14 0 05 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 20 175 0 05 Oct 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 6 130 0 29 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 13 23 0 24 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 17 21 0 11 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 6 5 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 19 733 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 11 2 0 05 Sep 2020
LFGCN: Levitating over Graphs with Levy Flights Yuzhou Chen Yulia R. Gel Konstantin Avrachenkov 8 7 0 04 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 11 72 0 04 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao S. Scherer CLL GNN AI4CE 18 50 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 39 80 0 29 Aug 2020
Random Surfing Revisited: Generalizing PageRank's Teleportation Model A. Nikolakopoulos 18 0 0 29 Aug 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 18 595 0 18 Jul 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 6 54 0 07 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 32 1,443 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 10 366 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 25 1 0 01 Jul 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 19 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 18 36 0 25 Jun 2020