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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
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 75 2 0 28 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuanchen Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 137 1 0 28 May 2024
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection Xiangyu Dong Xing Zhang Yanni Sun Lei Chen Mingxuan Yuan Sibo Wang 101 1 0 27 May 2024
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks Renqiang Luo Huafei Huang Shuo Yu Zhuoyang Han Estrid He Xiuzhen Zhang Xiwei Xu 90 3 0 27 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 130 8 0 27 May 2024
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification Jiachen Chen Danyang Huang Liyuan Wang Kathryn L. Lunetta Debarghya Mukherjee Huimin Cheng 68 0 0 26 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 81 1 0 25 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 106 5 0 24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 95 2 0 24 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 80 4 0 23 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song Jianguo Huang Wenyu Jiang Baoming Zhang Shuangjie Li Chongjun Wang 108 3 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 106 8 0 23 May 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal Kimon Fountoulakis 118 0 0 22 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 100 4 0 22 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 149 8 0 22 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 93 2 0 21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lio 130 31 0 21 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 261 1 0 20 May 2024
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection Jiajun Zhou Xuanze Chen Sheng Gong Chenkai Hu Chengxiang Jin Shanqing Yu Qi Xuan 70 1 0 14 May 2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media Zhuoran Lu Sheshera Mysore Tara Safavi Jennifer Neville Longqi Yang Mengting Wan 102 10 0 07 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Miao Hu Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Tengjiao Wang GNN 128 0 0 07 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 80 4 0 07 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 92 0 0 06 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification Xin Zhang Daochen Zha Qiaoyu Tan 112 1 0 06 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 73 10 0 03 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 123 2 0 02 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 94 3 0 30 Apr 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 75 13 0 28 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 107 5 0 21 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 69 3 0 19 Apr 2024
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices Approach Guoming Li Jian Yang Shangsong Liang Dongsheng Luo 81 0 0 15 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 82 0 0 11 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 103 3 0 06 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 90 23 0 01 Apr 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer Xiaoyan Kui Haonan Yan Qinsong Li Liming Chen Beiji Zou 59 0 0 25 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 122 25 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 81 1 0 23 Mar 2024
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks Ningyi Liao Zihao Yu Ruixiao Zeng Siqiang Luo GNN 74 0 0 20 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks Wei Duan Jie Lu Yu Guang Wang Junyu Xuan 80 5 0 18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 65 0 0 13 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lio 137 6 0 12 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 94 13 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 133 13 0 12 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 68 3 0 11 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 113 1 0 10 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 86 9 0 10 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 125 7 0 06 Mar 2024
Robust Graph Structure Learning under Heterophily Xuanting Xie Zhao Kang Wenyu Chen 93 4 0 06 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia Xiao Wang Nian Liu Chuan Shi 104 11 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 93 11 0 06 Mar 2024