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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
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 96 10 0 26 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh Chawla 128 14 0 22 Aug 2022
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search Xinshun Feng Herun Wan Shangbin Feng Hongrui Wang Jun Zhou Qinghua Zheng Minnan Luo 82 6 0 18 Aug 2022
Geometric Scattering on Measure Spaces Joyce A. Chew M. Hirn Smita Krishnaswamy Deanna Needell Michael Perlmutter H. Steach Siddharth Viswanath Hau‐Tieng Wu GNN 230 19 0 17 Aug 2022
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics Zhengyang Zhou Yang Kuo Wei Sun Binwu Wang Mingxing Zhou Yunan Zong Yang Wang AI4TS 62 4 0 17 Aug 2022
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing Qingyun Sun Jianxin Li Haonan Yuan Xingcheng Fu Hao Peng Cheng Ji Qian Li Philip S. Yu 85 41 0 17 Aug 2022
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang GNN 45 19 0 15 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity Hongliang Chi Yao Ma SSL 66 3 0 13 Aug 2022
EEGNN: Edge Enhanced Graph Neural Network with a Bayesian Nonparametric Graph Model Yirui Liu Xinghao Qiao Liying Wang Jessica Lam BDL 88 3 0 12 Aug 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 51 1 0 25 Jul 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 89 14 0 22 Jul 2022
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization Ningyi Liao Dingheng Mo Siqiang Luo Xiang Li Pengcheng Yin GNN AI4CE 69 22 0 19 Jul 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 67 0 0 18 Jul 2022
Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank Alessandro Epasto Vahab Mirrokni Bryan Perozzi Anton Tsitsulin Peilin Zhong 110 23 0 14 Jul 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 114 35 0 14 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 89 7 0 10 Jul 2022
A Safe Semi-supervised Graph Convolution Network Zhi Yang Yadong Yan Haitao Gan Jing Zhao Zhiwei Ye GNN 55 3 0 05 Jul 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems Yu Wang Yuying Zhao Yi Zhang Hanyu Wang GNN 71 63 0 03 Jul 2022
Transforming PageRank into an Infinite-Depth Graph Neural Network Andreas Roth Thomas Liebig GNN 93 14 0 01 Jul 2022
Modeling Teams Performance Using Deep Representational Learning on Graphs Francesco Carli Pietro Foini N. Gozzi N. Perra Rossano Schifanella GNN 44 0 0 29 Jun 2022
Deformable Graph Transformer Jinyoung Park Seongjun Yun Hyeon-ju Park Jaewoo Kang Jisu Jeong KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 144 7 0 29 Jun 2022
BAGEL: A Benchmark for Assessing Graph Neural Network Explanations Mandeep Rathee Thorben Funke Avishek Anand Megha Khosla 78 15 0 28 Jun 2022
Graph Condensation via Receptive Field Distribution Matching Mengyang Liu Shanchuan Li Xinshi Chen Le Song DD 132 53 0 28 Jun 2022
Structural Entropy Guided Graph Hierarchical Pooling Junran Wu Xueyuan Chen Ke Xu Shangzhe Li 91 77 0 26 Jun 2022
Propagation with Adaptive Mask then Training for Node Classification on Attributed Networks Jinsong Chen Boyu Li Qiuting He Kun He 89 0 0 21 Jun 2022
Finding Diverse and Predictable Subgraphs for Graph Domain Generalization Junchi Yu Jian Liang Ran He OOD 81 11 0 19 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 99 21 0 18 Jun 2022
Certified Graph Unlearning Eli Chien Chao Pan O. Milenkovic MU 112 41 0 18 Jun 2022
NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning Wentao Zhang Zeang Sheng Mingyu Yang Yang Li Yu Shen Zhi-Xin Yang Tengjiao Wang AAML 74 17 0 17 Jun 2022
DFG-NAS: Deep and Flexible Graph Neural Architecture Search Wentao Zhang Zheyu Lin Yu Shen Yang Li Zhi-Xin Yang Tengjiao Wang GNN AI4CE 63 5 0 17 Jun 2022
A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features Jiuhai Chen Jonas W. Mueller V. Ioannidis Tom Goldstein David Wipf 67 2 0 16 Jun 2022
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization Langzhang Liang Zenglin Xu Zixing Song Irwin King Yuan Qi Jieping Ye 125 24 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 96 111 0 15 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 96 15 0 15 Jun 2022
TeKo: Text-Rich Graph Neural Networks with External Knowledge Zhizhi Yu Di Jin Jianguo Wei Ziyang Liu Yue Shang Yun Xiao Jiawei Han Lingfei Wu 76 5 0 15 Jun 2022
FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks Kaituo Feng Changsheng Li Ye Yuan Guoren Wang 107 35 0 14 Jun 2022
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs Jinsong Chen Kaiyuan Gao Gaichao Li Kun He 100 118 0 10 Jun 2022
Towards Understanding Graph Neural Networks: An Algorithm Unrolling Perspective Zepeng Zhang Ziping Zhao AI4CE 73 4 0 09 Jun 2022
Model Degradation Hinders Deep Graph Neural Networks Wentao Zhang Zeang Sheng Ziqi Yin Yuezihan Jiang Yikuan Xia Jun Gao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 82 43 0 09 Jun 2022
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 90 109 0 09 Jun 2022
Neural Bandit with Arm Group Graph Yunzhe Qi Yikun Ban Jingrui He 85 10 0 08 Jun 2022
Alternately Optimized Graph Neural Networks Haoyu Han Xiaorui Liu Haitao Mao Torkamani Ali Feng Shi Victor E. Lee Jiliang Tang GNN 146 8 0 08 Jun 2022
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage Yu Wang Yuying Zhao Yushun Dong Huiyuan Chen Jundong Li Hanyu Wang 84 87 0 07 Jun 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 117 44 0 07 Jun 2022
Restructuring Graph for Higher Homophily via Adaptive Spectral Clustering Shouheng Li Dongwoo Kim Qing Wang 103 14 0 06 Jun 2022
Mixed Graph Contrastive Network for Semi-Supervised Node Classification Xihong Yang Yue Liu Sihang Zhou Xinwang Liu En Zhu Sihang Zhou Xinwang Liu En Zhu SSL 127 29 0 06 Jun 2022
On Calibration of Graph Neural Networks for Node Classification Tong Liu Yushan Liu Marcel Hildebrandt Mitchell Joblin Hang Li Volker Tresp 103 11 0 03 Jun 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination Yizhen Zheng Shirui Pan Vincent C. S. Lee Yu Zheng Philip S. Yu 81 99 0 03 Jun 2022
Instant Graph Neural Networks for Dynamic Graphs Yanping Zheng Hanzhi Wang Zhewei Wei Jiajun Liu Sibo Wang GNN 65 23 0 03 Jun 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing Jie Chen Weiqi Liu Zhizhong Huang Junbin Gao Junping Zhang Jian Pu 70 3 0 30 May 2022