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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
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study Osman Alperen Koras Jorg Schlotterer Christin Seifert 100 1 0 05 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Tianlin Li Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 78 8 0 05 Mar 2024
Mitigating Label Noise on Graph via Topological Sample Selection Yuhao Wu Jiangchao Yao Xiaobo Xia Jun-chen Yu Ruxing Wang Bo Han Tongliang Liu NoLa 111 2 0 04 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 147 31 0 02 Mar 2024
Subhomogeneous Deep Equilibrium Models Pietro Sittoni Francesco Tudisco 69 1 0 01 Mar 2024
Linear-Time Graph Neural Networks for Scalable Recommendations Jiahao Zhang Rui Xue Wenqi Fan Xin Xu Qing Li Jian Pei Xiaorui Liu AI4CE 88 30 0 21 Feb 2024
Verifying message-passing neural networks via topology-based bounds tightening Christopher Hojny Shiqiang Zhang Juan S. Campos Ruth Misener AAML 118 7 0 21 Feb 2024
Can GNN be Good Adapter for LLMs? Xuanwen Huang Kaiqiao Han Yang Yang Dezheng Bao Quanjin Tao Ziwei Chai Qi Zhu AI4CE 95 45 0 20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 116 1 0 20 Feb 2024
Graph Out-of-Distribution Generalization via Causal Intervention Qitian Wu Fan Nie Chenxiao Yang Tianyi Bao Junchi Yan OODD OOD AI4CE 108 21 0 18 Feb 2024
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking Simon Zhang Cheng Xin Tamal K. Dey 64 1 0 17 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation Xinjian Zhao Liang Zhang Yang Liu Ruocheng Guo Xiangyu Zhao 75 0 0 16 Feb 2024
Graph-Skeleton: ~1% Nodes are Sufficient to Represent Billion-Scale Graph Linfeng Cao Haoran Deng Yang Yang Chunping Wang Lei Chen 77 8 0 14 Feb 2024
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds Wuxinlin Cheng Chenhui Deng Ali Aghdaei Zhiru Zhang Zhuo Feng AAML 89 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 64 4 0 13 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Miao Hu Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 111 13 0 09 Feb 2024
Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu Zeyu Fang Zhen Zhang Ming Gu Sheng Zhou Xin Eric Wang Jiajun Bu AI4CE 97 16 0 08 Feb 2024
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching Yuchen Zhang Tianle Zhang Kai Wang Ziyao Guo Yuxuan Liang Xavier Bresson Wei Jin Yang You 128 26 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 161 14 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 89 12 0 07 Feb 2024
FairWire: Fair Graph Generation O. Deniz Kose Yanning Shen 114 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 95 1 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Sihang Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 119 21 0 05 Feb 2024
Active Learning for Graphs with Noisy Structures Hongliang Chi Cong Qi Suhang Wang Yao Ma 88 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 155 44 0 03 Feb 2024
Precedence-Constrained Winter Value for Effective Graph Data Valuation Hongliang Chi Wei Jin Charu C. Aggarwal Yao Ma 59 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 85 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 147 4 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 86 4 0 26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 86 5 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 93 4 0 24 Jan 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 76 3 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Miao Hu Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 119 11 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 92 1 0 18 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 114 3 0 17 Jan 2024
Consistency of semi-supervised learning, stochastic tug-of-war games, and the p-Laplacian Jeff Calder Nadejda Drenska 86 3 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 95 4 0 07 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 109 10 0 04 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 72 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 88 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 42 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 69 4 0 22 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 106 14 0 20 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu Anh Tuan Luu Xavier Bresson Neil Shah Tong Zhao GNN 80 8 0 18 Dec 2023
LightGCN: Evaluated and Enhanced David Murphy Luca Pantea Andrei Blahovici GNN 39 1 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 46 0 0 17 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 152 14 0 14 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 130 19 0 14 Dec 2023
Polynomial-based Self-Attention for Table Representation learning Jayoung Kim Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park LMTD 100 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 103 0 0 09 Dec 2023