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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Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 13 4 0 31 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 25 3 0 30 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 22 20 0 23 Dec 2021
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RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning Hansheng Xue V. Mallawaarachchi Yujia Zhang Vaibhav Rajan Yu Lin 14 12 0 22 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 13 13 0 22 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 14 41 0 18 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 13 26 0 14 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 75 24 0 08 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 28 0 0 06 Dec 2021
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Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 15 7 0 02 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 14 0 0 02 Dec 2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems Weibin Li Mingkai He Zhengjie Huang Xianming Wang Shikun Feng Weiyue Su Yu Sun 15 4 0 02 Dec 2021
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AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 15 2 0 25 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 12 1 0 19 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 30 1 0 16 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 14 32 0 16 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 16 1 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 14 44 0 14 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 27 14 0 12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 40 21 0 11 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 24 61 0 08 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 33 35 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 30 50 0 08 Nov 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 11 14 0 05 Nov 2021
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation Jianning Quan A. Ben Hamza 3DH 6 13 0 01 Nov 2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 150 130 0 29 Oct 2021
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 12 37 0 29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 19 73 0 28 Oct 2021
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 15 19 0 28 Oct 2021
Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods Derek Lim Felix Hohne Xiuyu Li Sijia Huang Vaishnavi Gupta Omkar Bhalerao Ser-Nam Lim 39 336 0 27 Oct 2021
Node Dependent Local Smoothing for Scalable Graph Learning Wentao Zhang Mingyu Yang Zeang Sheng Yang Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 13 67 0 27 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 28 80 0 26 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 19 11 0 26 Oct 2021
Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features Jiuhai Chen Jonas W. Mueller V. Ioannidis Soji Adeshina Yangkun Wang Tom Goldstein David Wipf 17 11 0 26 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao-Lun Sun Xing Xie Yanfang Ye 22 75 0 25 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu-Chiang Frank Wang Siegfried Mercelis Tyler Derr 13 22 0 22 Oct 2021
pygrank: A Python Package for Graph Node Ranking Emmanouil Krasanakis Symeon Papadopoulos Y. Kompatsiaris A. Symeonidis 11 3 0 18 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Y. Pan Junjin Zheng Lei Wang Zenglin Xu 28 0 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 31 173 0 17 Oct 2021