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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
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 70 4 0 07 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 90 13 0 07 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 74 21 0 06 Dec 2023
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks Moritz Lampert Ingo Scholtes GNN SSL 56 3 0 04 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lio 119 1 0 30 Nov 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 90 2 0 29 Nov 2023
Robust Graph Neural Networks via Unbiased Aggregation Ruiqi Feng Zhichao Hou Hanyu Wang Xiaorui Liu 92 0 0 25 Nov 2023
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 93 1 0 24 Nov 2023
AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine Jie Lian Xufang Luo Caihua Shan Dongqi Han V. Vardhanabhuti Dongsheng Li 65 0 0 24 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 75 1 0 20 Nov 2023
Benchmarking Machine Learning Models for Quantum Error Correction Yue Zhao 79 2 0 18 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 58 0 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 73 4 0 10 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lio Yu Guang Wang 84 11 0 09 Nov 2023
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 162 1 0 08 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 88 0 0 06 Nov 2023
Diversified Node Sampling based Hierarchical Transformer Pooling for Graph Representation Learning Gaichao Li Jinsong Chen John E. Hopcroft Kun He 48 0 0 31 Oct 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 91 5 0 30 Oct 2023
Unleashing the potential of GNNs via Bi-directional Knowledge Transfer Shuai Zheng Zhizhe Liu Zhenfeng Zhu Xingxing Zhang Jianxin Li Yao-Min Zhao 75 0 0 26 Oct 2023
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise Yao Cheng Caihua Shan Yifei Shen Xiang Li Siqiang Luo Dongsheng Li 105 7 0 25 Oct 2023
Hierarchical Randomized Smoothing Yan Scholten Jan Schuchardt Aleksandar Bojchevski Stephan Günnemann AAML 135 5 0 24 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 63 1 0 23 Oct 2023
Efficient Heterogeneous Graph Learning via Random Projection Jun Hu Bryan Hooi Bingsheng He 108 13 0 23 Oct 2023
Graph Convolutional Network with Connectivity Uncertainty for EEG-based Emotion Recognition Hongxiang Gao Xiangyao Wang Zhenghua Chen Min-man Wu Zhipeng Cai Lulu Zhao Jianqing Li Chengyu Liu 83 12 0 22 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 94 10 0 20 Oct 2023
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy Haitian Jiang Renjie Liu Xiao Yan Zhenkun Cai Minjie Wang David Wipf Minjie Wang David Wipf GNN AI4CE 100 3 0 19 Oct 2023
A Quasi-Wasserstein Loss for Learning Graph Neural Networks Minjie Cheng Hongteng Xu 84 1 0 18 Oct 2023
Fast Graph Condensation with Structure-based Neural Tangent Kernel Lin Wang Wenqi Fan Jiatong Li Yao Ma Qing Li DD 99 31 0 17 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 95 6 0 17 Oct 2023
Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation Xin Gao Wentao Zhang Junliang Yu Yingxiao Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 116 10 0 17 Oct 2023
Equivariant Matrix Function Neural Networks Ilyes Batatia Lars L. Schaaf Huajie Chen Gábor Csányi Christoph Ortner Felix A. Faber 93 6 0 16 Oct 2023
Shape-aware Graph Spectral Learning Junjie Xu Enyan Dai Dongsheng Luo Xiang Zhang Suhang Wang 96 3 0 16 Oct 2023
Causality and Independence Enhancement for Biased Node Classification Guoxin Chen Yongqing Wang Fangda Guo Qinglang Guo Jiangli Shao Huawei Shen Xueqi Cheng CML AI4CE OOD 97 14 0 14 Oct 2023
Graph Distillation with Eigenbasis Matching Yang Liu Deyu Bo Chuan Shi DD 142 10 0 13 Oct 2023
Does Graph Distillation See Like Vision Dataset Counterpart? Beining Yang Kai Wang Qingyun Sun Cheng Ji Xingcheng Fu Hao Tang Yang You Jianxin Li DD 71 45 0 13 Oct 2023
Tailoring Self-Attention for Graph via Rooted Subtrees Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 81 8 0 08 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 104 37 0 08 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 76 1 0 08 Oct 2023
DeepHGCN: Toward Deeper Hyperbolic Graph Convolutional Networks Jiaxu Liu Xinping Yi Xiaowei Huang 98 3 0 03 Oct 2023
GraphText: Graph Reasoning in Text Space Jianan Zhao Le Zhuo Yikang Shen Meng Qu Kai Liu Michael M. Bronstein Zhaocheng Zhu Jian Tang 222 80 0 02 Oct 2023
EX-Graph: A Pioneering Dataset Bridging Ethereum and X Qian Wang Zhen Zhang Zemin Liu Shengliang Lu B. Luo Bingsheng He 70 10 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 103 17 0 01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 101 80 0 01 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Zorah Lähner GNN 59 1 0 30 Sep 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Helen Zhou 113 0 0 29 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding Leyi Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 97 6 0 24 Sep 2023
Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution Cong Xu Jun Wang Jianyong Wang Wei Zhang GNN 84 1 0 24 Sep 2023
A Model-Agnostic Graph Neural Network for Integrating Local and Global Information Wenzhuo Zhou Annie Qu Keiland W Cooper Norbert Fortin Babak Shahbaba 136 1 0 23 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 74 19 0 22 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 104 20 0 20 Sep 2023