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
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Localized Randomized Smoothing for Collective Robustness Certification Jan Schuchardt Thomas Wollschläger Aleksandar Bojchevski Stephan Günnemann AAML 48 9 0 28 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 10 0 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 24 0 0 26 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 14 3 0 25 Oct 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 35 16 0 24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 16 26 0 24 Oct 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Z Li Yuang Jiang Rex Ying 16 18 0 21 Oct 2022
Global Counterfactual Explainer for Graph Neural Networks Mert Kosan Zexi Huang Sourav Medya Sayan Ranu Ambuj K. Singh 19 47 0 21 Oct 2022
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs Lequan Lin Junbin Gao GNN 19 11 0 20 Oct 2022
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu Sheng-Wei Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu 29 14 0 19 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah L. Akoglu 21 17 0 18 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 21 20 0 15 Oct 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 28 18 0 15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 22 10 0 14 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 57 4 0 14 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 28 179 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang GNN 28 57 0 14 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh V. Chawla 21 32 0 12 Oct 2022
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy Qiuchen Zhang Hong kyu Lee Jing Ma Jian Lou Carl Yang Li Xiong 26 10 0 10 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 70 13 0 08 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 21 1 0 08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 38 8 0 08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 70 82 0 08 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 84 60 0 07 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 73 31 0 06 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun-Xiong Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 61 6 0 05 Oct 2022
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization Mingxuan Ju Tong Zhao Qianlong Wen Wenhao Yu Neil Shah Yanfang Ye Chuxu Zhang SSL 13 34 0 05 Oct 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 46 1 0 03 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 65 71 0 03 Oct 2022
Gradient Gating for Deep Multi-Rate Learning on Graphs T. Konstantin Rusch B. Chamberlain Michael W. Mahoney Michael M. Bronstein Siddhartha Mishra 74 53 0 02 Oct 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 1 0 30 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 45 9 0 20 Sep 2022
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach Wendong Bi Lun Du Qiang Fu Yanlin Wang Shi Han Dongmei Zhang 22 27 0 17 Sep 2022
On the Robustness of Graph Neural Diffusion to Topology Perturbations Yang Song Qiyu Kang Sijie Wang Zhao Kai Wee Peng Tay DiffM AAML 52 35 0 16 Sep 2022
SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization Asish Bera Zachary Wharton Yonghuai Liu Nikolaos Bessis Ardhendu Behera 53 50 0 05 Sep 2022
Toward Robust Graph Semi-Supervised Learning against Extreme Data Scarcity Kaize Ding E. Nouri Guoqing Zheng Huan Liu Ryen W. White 21 9 0 26 Aug 2022
NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs Yijun Tian Chuxu Zhang Zhichun Guo Xiangliang Zhang Nitesh V. Chawla 29 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 8 4 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 31 16 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 13 3 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 11 37 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 12 18 0 15 Aug 2022
Enhancing Graph Contrastive Learning with Node Similarity Hongliang Chi Yao Ma SSL 35 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 20 3 0 12 Aug 2022
GNN Transformation Framework for Improving Efficiency and Scalability Seiji Maekawa Yuya Sasaki G. Fletcher Makoto Onizuka GNN 9 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 18 12 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 16 21 0 19 Jul 2022
Deep Manifold Learning with Graph Mining Xuelong Li Ziheng Jiao Hongyuan Zhang Rui Zhang GNN 11 0 0 18 Jul 2022