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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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Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 71 6 0 27 Nov 2022
Demystifying Bitcoin Address Behavior via Graph Neural Networks Zhen-Ji Huang Yunyang Huang Peng Qian Jianhai Chen Qinming He GNN 71 6 0 26 Nov 2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen Zilong Li Ying Zhu Junping Zhang Jian Pu 96 8 0 21 Nov 2022
Spectral Adversarial Training for Robust Graph Neural Network Jintang Li Jiaying Peng Liang Chen Zibin Zheng Tingting Liang Qing Ling AAML OOD 65 20 0 20 Nov 2022
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning Mingxuan Ju Yujie Fan Chuxu Zhang Yanfang Ye AAML 120 38 0 19 Nov 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng Hui Liu Yuheng Jia Xianqiang Lyu 92 8 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 102 1 0 19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 107 7 0 18 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 84 45 0 17 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 63 0 0 15 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Yurui Lai Xiaochun Ye Xiaochun Ye Shirui Pan Wenguang Chen Yuan Xie GNN 115 27 0 10 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 121 8 0 01 Nov 2022
A Simple Hypergraph Kernel Convolution based on Discounted Markov Diffusion Process Fuyang Li Jiying Zhang Xi Xiao Bin Zhang Dijun Luo 71 3 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 155 29 0 30 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 118 11 0 29 Oct 2022
Localized Randomized Smoothing for Collective Robustness Certification Jan Schuchardt Thomas Wollschläger Aleksandar Bojchevski Stephan Günnemann AAML 105 10 0 28 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 83 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 89 0 0 26 Oct 2022
Online Cross-Layer Knowledge Distillation on Graph Neural Networks with Deep Supervision Jiongyu Guo Defang Chen Can Wang 65 3 0 25 Oct 2022
Transformers over Directed Acyclic Graphs Yu Luo Veronika Thost Lei Shi GNN AI4CE 150 20 0 24 Oct 2022
Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks Chenxiao Yang Qitian Wu Junchi Yan 75 28 0 24 Oct 2022
Diffuser: Efficient Transformers with Multi-hop Attention Diffusion for Long Sequences Aosong Feng Irene Li Yuang Jiang Rex Ying 86 18 0 21 Oct 2022
Global Counterfactual Explainer for Graph Neural Networks Mert Kosan Zexi Huang Sourav Medya Sayan Ranu Ambuj K. Singh 108 51 0 21 Oct 2022
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs Lequan Lin Junbin Gao GNN 87 12 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 Helen Zhou 119 17 0 19 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah Leman Akoglu 94 18 0 18 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 83 22 0 15 Oct 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 81 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 82 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 145 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 92 201 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 Helen Zhou Zhangyang Wang GNN 99 58 0 14 Oct 2022
Boosting Graph Neural Networks via Adaptive Knowledge Distillation Zhichun Guo Chunhui Zhang Yujie Fan Yijun Tian Chuxu Zhang Nitesh Chawla 104 36 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 63 13 0 10 Oct 2022
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 181 13 0 08 Oct 2022
Uplifting Message Passing Neural Network with Graph Original Information Xiao Liu Lijun Zhang Hui Guan GNN 77 2 0 08 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 151 8 0 08 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 162 95 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 144 64 0 07 Oct 2022
Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang Xiao Wang Chuan Shi Le Song 178 35 0 06 Oct 2022
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification Lirong Wu Jun Xia Haitao Lin Zhangyang Gao Zicheng Liu Guojiang Zhao Stan Z. Li 160 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 95 37 0 05 Oct 2022
ASGNN: Graph Neural Networks with Adaptive Structure Zepeng Zhang Songtao Lu Zengfeng Huang Ziping Zhao AAML 93 1 0 03 Oct 2022
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 141 73 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 125 59 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 113 2 0 30 Sep 2022
Neural Graph Databases Maciej Besta Patrick Iff Florian Scheidl Kazuki Osawa Nikoli Dryden Michal Podstawski Tiancheng Chen Torsten Hoefler AI4CE 96 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 82 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 114 37 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 93 55 0 05 Sep 2022