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
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SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 36 1 0 13 Feb 2024
Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective Kai Guo Hongzhi Wen Wei Jin Yaming Guo Jiliang Tang Yi Chang OOD AI4CE 19 3 0 13 Feb 2024
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Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Keli Zhang Xavier Bresson Wei Jin Yang You 40 23 0 07 Feb 2024
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 73 13 0 07 Feb 2024
Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment Lei Wang Jun Liu Liang Zheng Tom Gedeon Piotr Koniusz 33 9 0 07 Feb 2024
FairWire: Fair Graph Generation O. D. Kose Yanning Shen 34 3 0 06 Feb 2024
Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation Yuanyi Wang Wei Tang Haifeng Sun Zirui Zhuang Xiaoyuan Fu Jingyu Wang Qi Qi Jianxin Liao 28 1 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Junfeng Fang Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 53 19 0 05 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 38 3 0 04 Feb 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 66 28 0 03 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 50 3 0 02 Feb 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 38 2 0 28 Jan 2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction Kangkang Lu Yanhua Yu Hao Fei Xuan Li Zixuan Yang Zirui Guo Meiyu Liang Mengran Yin Tat-Seng Chua 26 3 0 28 Jan 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem Chen Huang Haoyang Li Yifan Zhang Wenqiang Lei Jiancheng Lv 40 3 0 26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 34 3 0 24 Jan 2024
EMP: Effective Multidimensional Persistence for Graph Representation Learning I. Segovia-Dominguez Yuzhou Chen Cüneyt Gürcan Akçora Zhiwei Zhen Murat Kantarcioglu Yulia R. Gel Baris Coskunuzer 51 4 0 24 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 30 3 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 48 8 0 22 Jan 2024
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation Ruizhe Zhang Xinke Jiang Yuchen Fang Jiayuan Luo Yongxin Xu Yichen Zhu Xu Chu Junfeng Zhao Yasha Wang 26 1 0 18 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian Jeff Calder Nadejda Drenska 35 1 0 15 Jan 2024
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Nan Wang Xiaofang Zhou OODD OOD 31 3 0 07 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 41 9 0 04 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 30 0 0 02 Jan 2024
Graph Learning in 4D: a Quaternion-valued Laplacian to Enhance Spectral GCNs Stefano Fiorini Stefano Coniglio Michele Ciavotta Enza Messina GNN 29 5 0 28 Dec 2023
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series Forecasting Weijun Chen Heyuan Wang Ye Tian Shijie Guan Ning Liu AI4TS 30 1 0 27 Dec 2023
Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification Minghui Liao Guojia Wan Bo Du 41 3 0 22 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 34 11 0 20 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu A. Luu Xavier Bresson Neil Shah Tong Zhao GNN 29 8 0 18 Dec 2023
LightGCN: Evaluated and Enhanced David Murphy Luca Pantea Andrei Blahovici GNN 19 0 0 17 Dec 2023
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models Haoyuan Wu Xinyun Zhang Peng Xu Peiyu Liao Xufeng Yao Bei Yu VLM 19 0 0 17 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 72 12 0 14 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 22 16 0 14 Dec 2023
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 40 2 0 12 Dec 2023
$Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks$ Poisoning $\times$ Evasion: Symbiotic Adversarial Robustness for Graph Neural Networks Ege Erdogan Simon Geisler Stephan Günnemann AAML 29 0 0 09 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 35 4 0 07 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 40 12 0 07 Dec 2023
Adaptive Dependency Learning Graph Neural Networks Abishek Sriramulu Nicolas Fourrier Christoph Bergmeir AI4TS AI4CE 32 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 25 4 0 04 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lio 23 1 0 30 Nov 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 29 1 0 29 Nov 2023
Robust Graph Neural Networks via Unbiased Aggregation Ruiqi Feng Zhichao Hou Tyler Derr Xiaorui Liu 34 0 0 25 Nov 2023
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 37 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 29 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 16 1 0 20 Nov 2023
Benchmarking Machine Learning Models for Quantum Error Correction Yue Zhao 27 1 0 18 Nov 2023