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
Foundations and Frontiers of Graph Learning Theory Yu Huang Min Zhou Menglin Yang Zhen Wang Muhan Zhang Jie Wang Hong Xie Hao Wang Defu Lian Enhong Chen AI4CE GNN 43 2 0 03 Jul 2024
Backdoor Graph Condensation Jiahao Wu Ning Lu Zeiyu Dai Kun Wang Wenqi Fan Shengcai Liu Qing Li Ke Tang AAML DD 58 5 0 03 Jul 2024
Multi-Modal Video Dialog State Tracking in the Wild Adnen Abdessaied Lei Shi Andreas Bulling 19 2 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 54 0 0 01 Jul 2024
Commute Graph Neural Networks Wei Zhuo Han Yu Guang Tan Xiaoxiao Li GNN 90 1 0 30 Jun 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers Jinsong Chen Hanpeng Liu J. Hopcroft Kun He 22 1 0 27 Jun 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 29 1 0 27 Jun 2024
Improving the Expressiveness of $K$ -hop Message-Passing GNNs by Injecting Contextualized Substructure Information Tianjun Yao Yiongxu Wang Kun Zhang Shangsong Liang 20 11 0 27 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 63 42 0 26 Jun 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 29 8 0 25 Jun 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks Rongzhe Wei Eli Chien P. Li 30 5 0 22 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Bin Cui AAML 51 3 0 19 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 19 4 0 18 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 34 2 0 14 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 27 15 0 13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun-Yen Chen Can Wang 38 1 0 13 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai Xiaoyang Lin Renchi Yang Hongtao Wang 39 2 0 08 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 27 0 0 07 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 31 1 0 06 Jun 2024
Road Network Representation Learning with the Third Law of Geography Haicang Zhou Weiming Huang Yile Chen Tiantian He Gao Cong Yew-Soon Ong 19 3 0 06 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 33 5 0 05 Jun 2024
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs Shuqi He Jun Zhuang Ding Wang Luyao Peng Jun Song AAML 31 1 0 05 Jun 2024
Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections Zihan Luo Hong Huang Yongkang Zhou Jiping Zhang Nuo Chen 30 1 0 05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 26 6 0 05 Jun 2024
Cluster-Aware Similarity Diffusion for Instance Retrieval Jifei Luo Hantao Yao Changsheng Xu 26 0 0 04 Jun 2024
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 26 2 0 04 Jun 2024
Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE Jiaxu Liu Xinping Yi Sihao Wu Xiangyu Yin Tianle Zhang Xiaowei Huang Shi Jin 34 0 0 03 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 34 0 0 03 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 28 0 0 01 Jun 2024
Posterior Label Smoothing for Node Classification Jaeseung Heo M. Park Dongwoo Kim UQCV 33 0 0 01 Jun 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 24 2 0 30 May 2024
Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective Xingyi Zhang Zixuan Weng Sibo Wang 20 4 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 7 0 29 May 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 19 3 0 29 May 2024
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 27 0 0 28 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuan-Qi Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 60 0 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 18 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 Feng Xia 29 3 0 27 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 29 7 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 25 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 29 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 29 2 0 24 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 23 2 0 24 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 23 3 0 23 May 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song Jianguo Huang Wenyu Jiang Baoming Zhang Shuangjie Li Chongjun Wang 27 2 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 38 8 0 23 May 2024
Analysis of Corrected Graph Convolutions Robert Wang Aseem Baranwal K. Fountoulakis 29 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 27 3 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 29 7 0 22 May 2024