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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
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 247 140 0 29 Oct 2021
Topological Relational Learning on Graphs Yuzhou Chen Baris Coskunuzer Yulia R. Gel 73 44 0 29 Oct 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 72 76 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 122 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 152 361 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 Tengjiao Wang 87 70 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 130 89 0 26 Oct 2021
Deeper-GXX: Deepening Arbitrary GNNs Lecheng Zheng Dongqi Fu Ross Maciejewski Jingrui He 63 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 106 12 0 26 Oct 2021
Gophormer: Ego-Graph Transformer for Node Classification Jianan Zhao Chaozhuo Li Qian Wen Yiqi Wang Yuming Liu Hao Sun Xing Xie Yanfang Ye 77 84 0 25 Oct 2021
Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification Yu Wang Siegfried Mercelis Hanyu Wang 116 22 0 22 Oct 2021
pygrank: A Python Package for Graph Node Ranking Emmanouil Krasanakis Symeon Papadopoulos Y. Kompatsiaris A. Symeonidis 45 3 0 18 Oct 2021
Graph Partner Neural Networks for Semi-Supervised Learning on Graphs Langzhang Liang Cuiyun Gao Shiyi Chen Shishi Duan Yu Pan Junjin Zheng Lei Wang Zenglin Xu 97 0 0 18 Oct 2021
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation Shichang Zhang Yozen Liu Yizhou Sun Neil Shah 103 185 0 17 Oct 2021
DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction Itai Lang Dvir Ginzburg S. Avidan D. Raviv 3DPC 96 33 0 16 Oct 2021
Label-Wise Graph Convolutional Network for Heterophilic Graphs Enyan Dai Shijie Zhou Zhimeng Guo Suhang Wang 127 21 0 15 Oct 2021
DPGNN: Dual-Perception Graph Neural Network for Representation Learning Li Zhou Wenyu Chen DingYi Zeng Shaohuan Cheng Wanlong Liu Malu Zhang Hong Qu 61 9 0 15 Oct 2021
Graph Condensation for Graph Neural Networks Wei Jin Lingxiao Zhao Shichang Zhang Yozen Liu Jiliang Tang Neil Shah DD AI4CE 154 162 0 14 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 55 1 0 14 Oct 2021
Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang Jiarui Jin Weinan Zhang Yongyi Yang Jiuhai Chen Quan Gan Yong Yu Zheng Zhang Zengfeng Huang David Wipf AAML 129 12 0 14 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 89 3 0 14 Oct 2021
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks Moshe Eliasof Ben Bodner Eran Treister GNN 79 9 0 10 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 91 91 0 08 Oct 2021
Stable Prediction on Graphs with Agnostic Distribution Shift Shengyu Zhang Kun Kuang J. Qiu Jin Yu Zhou Zhao Hongxia Yang Zhongfei Zhang Leilei Gan OOD 120 8 0 08 Oct 2021
Recent Advances in Heterogeneous Relation Learning for Recommendation Chao Huang 128 32 0 07 Oct 2021
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation Dennis Ulmer Christian Hardmeier J. Frellsen BDL UQCV UD EDL PER 156 55 0 06 Oct 2021
Graph Pointer Neural Networks Tian-bao Yang Yujing Wang Z. Yue Yaming Yang Yunhai Tong Jing Bai 112 37 0 03 Oct 2021
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang Hongrui Liu Chuan Shi Cheng Yang UQCV 196 122 0 29 Sep 2021
IGLU: Efficient GCN Training via Lazy Updates S. Narayanan Aditya Sinha Prateek Jain Purushottam Kar Sundararajan Sellamanickam BDL 90 12 0 28 Sep 2021
Orthogonal Graph Neural Networks Kai Guo Kaixiong Zhou Helen Zhou Yu Li Yi Chang Xin Wang 101 36 0 23 Sep 2021
Search For Deep Graph Neural Networks Guosheng Feng Chunnan Wang Hongzhi Wang GNN 70 24 0 21 Sep 2021
Towards Fine-Grained Reasoning for Fake News Detection Yiqiao Jin Xiting Wang Ruichao Yang Yizhou Sun Wei Wang Hao Liao Xing Xie GNN 86 63 0 13 Sep 2021
Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification? Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 112 115 0 12 Sep 2021
A Study of Joint Graph Inference and Forecasting Daniel Zügner François-Xavier Aubet Victor Garcia Satorras Tim Januschowski Stephan Günnemann Jan Gasthaus AI4TS AI4CE 71 12 0 10 Sep 2021
Local Augmentation for Graph Neural Networks Songtao Liu Rex Ying Hanze Dong Lanqing Li Tingyang Xu Yu Rong P. Zhao Junzhou Huang Dinghao Wu 132 95 0 08 Sep 2021
Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience (VesselGraph) Johannes C. Paetzold J. McGinnis Suprosanna Shit Ivan Ezhov Paul Büschl ... Anjany Sekuboyina Georgios Kaissis Ali Ertürk Stephan Günnemann Bjoern Menze 87 9 0 30 Aug 2021
Single Node Injection Attack against Graph Neural Networks Shuchang Tao Qi Cao Huawei Shen Junjie Huang Yunfan Wu Xueqi Cheng AAML GNN 106 70 0 30 Aug 2021
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction Fuchen Gao Zhanquan Wang Zhenguang Liu AI4TS GNN 74 5 0 29 Aug 2021
Tree Decomposed Graph Neural Network Yu Wang Hanyu Wang 68 71 0 25 Aug 2021
Layer-wise Adaptive Graph Convolution Networks Using Generalized Pagerank Kishan Wimalawarne Taiji Suzuki GNN 60 2 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Helen Zhou Zhangyang Wang AAML GNN 73 66 0 24 Aug 2021
Graph Attention MLP with Reliable Label Utilization Wentao Zhang Ziqi Yin Zeang Sheng Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN 79 3 0 23 Aug 2021
Variational Graph Normalized Auto-Encoders S. Ahn Myoung-Ho Kim 63 74 0 18 Aug 2021
How Powerful is Graph Convolution for Recommendation? Yifei Shen Yongji Wu Yao Zhang Caihua Shan Jun Zhang Khaled B. Letaief Dongsheng Li GNN 77 102 0 17 Aug 2021
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis Fan Wu Yunhui Long Ce Zhang Yue Liu AAML 100 100 0 14 Aug 2021
Maximizing Influence with Graph Neural Networks G. Panagopoulos Nikolaos Tziortziotis Michalis Vazirgiannis Fragkiskos D. Malliaros 31 8 0 10 Aug 2021
Graph Neural Networks With Lifting-based Adaptive Graph Wavelets Mingxing Xu Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard 116 13 0 03 Aug 2021
Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data Qi Zhu Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 119 112 0 02 Aug 2021
Evaluating Deep Graph Neural Networks Wentao Zhang Zeang Sheng Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 73 31 0 02 Aug 2021
ECLARE: Extreme Classification with Label Graph Correlations Anshul Mittal Noveen Sachdeva Sheshansh Agrawal Sumeet Agarwal Purushottam Kar Manik Varma 83 66 0 31 Jul 2021