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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
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach Qingfeng Chen Shiyuan Li Yixin Liu Shirui Pan Geoffrey I. Webb Shichao Zhang EDL 56 0 0 16 Jun 2025
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IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples) Siyi Sun David Selby Yunchuan Huang Sebastian Vollmer Seth Flaxman Anisoara Calinescu 57 0 0 10 Jun 2025
Locality Preserving Markovian Transition for Instance Retrieval Jifei Luo Wenzheng Wu Hantao Yao Lu Yu Changsheng Xu 92 0 0 05 Jun 2025
Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Juwei Yue Haikuo Li Jiawei Sheng Xiaodong Li Taoyu Su Tingwen Liu Li Guo 53 0 0 29 May 2025
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory Dominik Fuchsgruber Tom Wollschlager Johannes Bordne Stephan Günnemann 68 0 0 28 May 2025
Language Model-Enhanced Message Passing for Heterophilic Graph Learning Wenjun Wang Dawei Cheng 52 0 0 26 May 2025
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification Chenyang Li Jinsong Chen John E. Hopcroft Kun He 59 0 0 23 May 2025
Benchmarking Recommendation, Classification, and Tracing Based on Hugging Face Knowledge Graph Qiaosheng Chen Kaijia Huang Xiao Zhou Weiqing Luo Yuanning Cui Gong Cheng CVBM VLM 87 0 0 23 May 2025
Beyond Node Attention: Multi-Scale Harmonic Encoding for Feature-Wise Graph Message Passing Longlong Li Cunquan Qu Guanghui Wang 84 0 0 21 May 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning Adrian Arnaiz-Rodriguez Federico Errica AI4CE 111 1 0 21 May 2025
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph Coarsening Guoming Li Jian Yang Yifan Chen 222 0 0 20 May 2025
Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng Ruizhong Qiu Wenxuan Bao Tianxin Wei Xiao Lin Yuchen Yan Tarek Abdelzaher Jiawei Han Hanghang Tong OOD AI4CE 123 2 0 19 May 2025
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models Zhibiao Wang Yunlong Zhou Ziwei Zhang Mengmei Zhang Shirui Pan Chunming Hu Xiao Wang 80 0 0 19 May 2025
It Takes a Graph to Know a Graph: Rewiring for Homophily with a Reference Graph Harel Mendelman Haggai Maron Ronen Talmon 102 0 0 18 May 2025
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Yoonhyuk Choi Chong-Kwon Kim 105 0 0 13 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 119 0 0 04 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Miao Hu Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 77 0 0 02 May 2025
Hierarchical Uncertainty-Aware Graph Neural Network Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 583 0 0 28 Apr 2025
A Generative Graph Contrastive Learning Model with Global Signal Xiaofan Wei Binyan Zhang 470 0 0 25 Apr 2025
Heterogeneous networks in drug-target interaction prediction Mohammad Molaee Nasrollah Moghadam Charkari Foad Ghaderi 129 0 0 22 Apr 2025
ScaleGNN: Towards Scalable Graph Neural Networks via Adaptive High-order Neighboring Feature Fusion Xiang Li Haobing Liu Jianpeng Qi Yuan Cao Guoqing Chao Yanwei Yu Junyu Dong Yanwei Yu GNN 119 0 0 22 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 177 0 0 18 Apr 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 109 0 0 16 Apr 2025
Towards Unbiased Federated Graph Learning: Label and Topology Perspectives Zhengyu Wu Boyang Pang Miao Hu Yinlin Zhu Daohan Su Bowen Fan Rong-Hua Li Guoren Wang Chenghu Zhou FedML 77 0 0 14 Apr 2025
GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs Songwei Zhao Yuan Jiang Zijing Zhang Yang Yu Hechang Chen 80 0 0 09 Apr 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 108 0 0 01 Apr 2025
DATA-WA: Demand-based Adaptive Task Assignment with Dynamic Worker Availability Windows Jinwen Chen Jiannan Guo Dazhuo Qiu Yawen Li Guanhua Ye Yan Zhao Kai Zheng 73 0 0 27 Mar 2025
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation Hongliang Chi Qiong Wu Zhengyi Zhou Yao Ma TDI AAML 134 0 0 23 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 254 0 0 16 Mar 2025
Tensor Convolutional Network for Higher-Order Interaction Prediction in Sparse Tensors Jun-Gi Jang Jingrui He A. Margenot Hanghang Tong 69 0 0 14 Mar 2025
Adjusted Count Quantification Learning on Graphs C. Damke Eyke Hüllermeier 61 0 0 13 Mar 2025
A Survey of Link Prediction in Temporal Networks Jiafeng Xiong Ahmad Zareie Rizos Sakellariou AI4TS AI4CE 83 2 0 28 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 224 3 0 24 Feb 2025
Graph Perceiver IO: A General Architecture for Graph Structured Data Seyun Bae Hoyoon Byun Changdae Oh Yoon-Sik Cho Kyungwoo Song GNN 270 3 0 24 Feb 2025
GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs Yi Fang Bowen Jin Jiacheng Shen Sirui Ding Qiaoyu Tan Jiawei Han 204 2 0 17 Feb 2025
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang Xinyi Wu James Cheng Yifei Wang 38 0 0 17 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li John E. Hopcroft Kun He 161 1 0 12 Feb 2025
Towards More Accurate Full-Atom Antibody Co-Design Jiayang Wu Xingyi Zhang Xiangyu Dong Kun Xie Ziqi Liu Wensheng Gan Sibo Wang Le Song 84 0 0 11 Feb 2025
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification Zhixun Li Dingshuo Chen Tong Zhao Ziyu Zhao Hongrui Liu Qing Cui Jun Zhou Jeffrey Xu Yu SSL 208 0 0 10 Feb 2025
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally Xiang Wang Muhan Zhang 281 0 0 04 Feb 2025
Spectro-Riemannian Graph Neural Networks Karish Grover Haiyang Yu Xiang Song Qi Zhu Han Xie V. Ioannidis Christos Faloutsos 168 1 0 01 Feb 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 304 21 0 28 Jan 2025
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space Xin He Yansen Wang Wenqi Fan Xu Shen Xin Juan Rui Miao Xin Wang 187 2 0 26 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 107 0 0 08 Jan 2025
OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan Yuming Ai Miao Hu Zhilin Guo Rong-Hua Li Guoren Wang MU 116 2 0 06 Jan 2025
Quantum Cognition-Inspired EEG-based Recommendation via Graph Neural Networks Jinkun Han Wei Li Yongqian Li Zhipeng Cai 144 2 0 05 Jan 2025
MADE: Graph Backdoor Defense with Masked Unlearning Xiao Lin amd Mingjie Li Mingjie Li Yisen Wang AAML 229 2 0 03 Jan 2025
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach Ruichu Cai Yuxuan Zhu Xuexin Chen Yuan Fang Min-man Wu Jie Qiao Zijian Li 123 8 0 31 Dec 2024
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism Xin Ai Hao Yuan Zeyu Ling Qiange Wang Yanfeng Zhang Zhenbo Fu Chaoyi Chen Yu Gu Ge Yu GNN 167 1 0 29 Dec 2024