v1v2v3v4v5v6 (latest)

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

ArXiv (abs)PDF HTML

Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

50 / 881 papers shown

Title
Contrastive Video Question Answering via Video Graph Transformer Junbin Xiao Pan Zhou Angela Yao Yicong Li Richang Hong Shuicheng Yan Tat-Seng Chua ViT 118 37 0 27 Feb 2023
Graph Neural Networks with Learnable and Optimal Polynomial Bases Y. Guo Zhewei Wei 123 33 0 24 Feb 2023
KGTrust: Evaluating Trustworthiness of SIoT via Knowledge Enhanced Graph Neural Networks Zhizhi Yu Di Jin Cuiying Huo Zhiqiang Wang Xiulong Liu Heng Qi Hongzhi Zhang Lingfei Wu 67 10 0 22 Feb 2023
Finding Heterophilic Neighbors via Confidence-based Subgraph Matching for Semi-supervised Node Classification Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 70 8 0 20 Feb 2023
Pseudo Contrastive Learning for Graph-based Semi-supervised Learning Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Yuanhai Lv Lining Xing Baosheng Yu Dacheng Tao 120 7 0 19 Feb 2023
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection Weilin Cong Mehrdad Mahdavi MU 58 18 0 17 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 78 4 0 17 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 139 5 0 16 Feb 2023
Robust Mid-Pass Filtering Graph Convolutional Networks Jincheng Huang Lun Du Xu Chen Qiang Fu Shi Han Dongmei Zhang AAML 95 38 0 16 Feb 2023
Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning Zehao Niu M. Anitescu Jing Chen BDL 50 5 0 12 Feb 2023
A Survey on Spectral Graph Neural Networks Deyu Bo Xiao Wang Yang Liu Yuan Fang Yawen Li Chuan Shi 116 29 0 11 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks Lefei Zhang Xiaodong Yan Jianshan He Ruopeng Li Wei Chu GNN 73 13 0 10 Feb 2023
Curriculum Graph Machine Learning: A Survey Haoyang Li Xin Eric Wang Wenwu Zhu 102 16 0 06 Feb 2023
Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks Jan Schuchardt Aleksandar Bojchevski Johannes Gasteiger Stephan Günnemann AAML 74 26 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 109 72 0 03 Feb 2023
LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation Rui Xue Haoyu Han MohamadAli Torkamani Jian Pei Xiaorui Liu GNN 114 22 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 Lio F. Scarselli Andrea Passerini AI4CE 111 63 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 133 16 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 136 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 78 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 94 4 0 31 Jan 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 101 15 0 26 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 127 6 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 69 0 0 25 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 63 1 0 16 Jan 2023
Classification of vertices on social networks by multiple approaches Hacı İsmail Aslan Chang Choi Hoon Ko 52 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 82 14 0 11 Jan 2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network Guanghui Zhu Zhen-Wei Zhu Wen Wang Zhuoer Xu Chun Yuan Jiaming Ji 122 9 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 82 11 0 07 Jan 2023
NetEffect: Discovery and Exploitation of Generalized Network Effects Meng-Chieh Lee Shubhranshu Shekhar Jaemin Yoo Christos Faloutsos 91 1 0 31 Dec 2022
Homophily modulates double descent generalization in graph convolution networks Chengzhi Shi Liming Pan Hong Hu Ivan Dokmanić 121 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 58 42 0 24 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 93 1 0 24 Dec 2022
Graph Federated Learning with Hidden Representation Sharing Shuang Wu Mingxuan Zhang Yuantong Li Carl Yang Pan Li FedML 113 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 Xiao-Wen Chang Doina Precup GNN 69 34 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks Xinyi Wu Zhengdao Chen W. Wang Ali Jadbabaie 111 45 0 21 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 81 15 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 145 56 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 133 5 0 17 Dec 2022
Scalable Graph Convolutional Network Training on Distributed-Memory Systems G. Demirci Aparajita Haldar Hakan Ferhatosmanoglu GNN 107 9 0 09 Dec 2022
Adversarial Weight Perturbation Improves Generalization in Graph Neural Networks Yihan Wu Aleksandar Bojchevski Heng Huang AAML 99 31 0 09 Dec 2022
HieNet: Bidirectional Hierarchy Framework for Automated ICD Coding Shi Wang Daniel Tang Luchen Zhang Huilin Li Ding-Jung Han 70 10 0 09 Dec 2022
Node-oriented Spectral Filtering for Graph Neural Networks Shuai Zheng Zhenfeng Zhu Zhizhe Liu Youru Li Yao-Min Zhao 83 19 0 07 Dec 2022
TIDE: Time Derivative Diffusion for Deep Learning on Graphs M. Behmanesh Maximilian Krahn M. Ovsjanikov DiffM GNN 98 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 86 53 0 05 Dec 2022
kHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning Menglin Yang Min Zhou Lujia Pan Irwin King 102 18 0 04 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 98 91 0 02 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 71 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 72 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 70 4 0 28 Nov 2022