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
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks Jan Schuchardt Aleksandar Bojchevski Johannes Gasteiger Stephan Günnemann AAML 14 25 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 16 61 0 03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 25 19 0 03 Feb 2023
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities Antonio Longa Veronica Lachi G. Santin Monica Bianchini Bruno Lepri Pietro Lió F. Scarselli Andrea Passerini AI4CE 13 50 0 02 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 15 16 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 11 0 0 01 Feb 2023
OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization Hengrui Zhang Shen Wang V. Ioannidis Soji Adeshina Jiani Zhang Xiao Qin Christos Faloutsos Da Zheng George Karypis Philip S. Yu 24 4 0 31 Jan 2023
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification Sonny Achten F. Tonin Panagiotis Patrinos Johan A. K. Suykens 32 4 0 31 Jan 2023
Federated Learning over Coupled Graphs Runze Lei P. Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 11 14 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 19 5 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 34 1 0 16 Jan 2023
Classification of vertices on social networks by multiple approaches Hacı İsmail Aslan Chang Choi Hoon Ko 11 0 0 13 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 24 13 0 11 Jan 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network Guanghui Zhu Zhen-Wei Zhu Wen Wang Zhuoer Xu C. Yuan Y. Huang 16 8 0 08 Jan 2023
Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching Fang Wu Siyuan Li Xurui Jin Yinghui Jiang Dragomir R. Radev Z. Niu Stan Z. Li 22 10 0 07 Jan 2023
NetEffect: Discovery and Exploitation of Generalized Network Effects Meng-Chieh Lee Shubhranshu Shekhar Jaemin Yoo Christos Faloutsos 22 1 0 31 Dec 2022
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 28 9 0 26 Dec 2022
T2-GNN: Graph Neural Networks for Graphs with Incomplete Features and Structure via Teacher-Student Distillation Cuiying Huo Di Jin Yawen Li Dongxiao He Yubin Yang Lingfei Wu 9 34 0 24 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 17 1 0 24 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 19 1 0 23 Dec 2022
Complete the Missing Half: Augmenting Aggregation Filtering with Diversification for Graph Convolutional Neural Networks Sitao Luan Mingde Zhao Chenqing Hua X. Chang Doina Precup GNN 11 32 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks X. Wu Zhengdao Chen W. Wang Ali Jadbabaie 17 38 0 21 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 21 12 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 13 51 0 18 Dec 2022
Graph Learning and Its Advancements on Large Language Models: A Holistic Survey Shaopeng Wei Yu Zhao Xingyan Chen Qing Li Fuzhen Zhuang Ji Liu Fuji Ren Gang Kou AI4CE 19 5 0 17 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 28 9 0 09 Dec 2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 21 30 0 09 Dec 2022
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding Shi Wang Daniel Tang Luchen Zhang Huilin Li Ding-Jung Han 14 10 0 09 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 20 15 0 07 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 19 9 0 05 Dec 2022
On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks Jhony H. Giraldo Konstantinos Skianis T. Bouwmans Fragkiskos D. Malliaros 16 45 0 05 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 21 18 0 04 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 22 87 0 02 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 12 0 0 01 Dec 2022
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection Jingcheng Deng Hengwei Dai Xuewei Guo Yuanchen Ju Wei Peng LRM 17 2 0 01 Dec 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 23 3 0 28 Nov 2022
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 30 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 25 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 19 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 28 17 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 14 35 0 19 Nov 2022
EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng Hui Liu Yuheng Jia Junhui Hou 22 6 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 11 0 0 19 Nov 2022
Recommending Related Products Using Graph Neural Networks in Directed Graphs Srinivas Virinchi Anoop Saladi Abhirup Mondal 14 7 0 18 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 39 0 17 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 10 0 0 15 Nov 2022
A Comprehensive Survey on Distributed Training of Graph Neural Networks Haiyang Lin Mingyu Yan Xiaochun Ye Dongrui Fan Shirui Pan Wenguang Chen Yuan Xie GNN 17 23 0 10 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Bin Cui Hongzhi Yin AI4CE GNN 41 9 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 19 3 0 30 Oct 2022