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
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
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition Nian Liu Xiaoxin He T. Laurent Francesco Di Giovanni Michael M. Bronstein Xavier Bresson 30 1 0 22 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lió 35 16 0 21 May 2024
Conditional Shift-Robust Conformal Prediction for Graph Neural Network Akansha Agrawal UQCV 45 1 0 20 May 2024
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection Jiajun Zhou Xuanze Chen Sheng Gong Chenkai Hu Chengxiang Jin Shanqing Yu Qi Xuan 14 1 0 14 May 2024
Corporate Communication Companion (CCC): An LLM-empowered Writing Assistant for Workplace Social Media Zhuoran Lu Sheshera Mysore Tara Safavi Jennifer Neville Longqi Yang Mengting Wan 25 7 0 07 May 2024
Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 34 3 0 07 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 37 4 0 07 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 35 0 0 06 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification Xin Zhang Daochen Zha Qiaoyu Tan 47 0 0 06 May 2024
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network Ziang Zhou Jieming Shi Renchi Yang Yuanhang Zou Qing Li GNN 37 7 0 03 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 46 2 0 02 May 2024
Generating Robust Counterfactual Witnesses for Graph Neural Networks Dazhuo Qiu Mengying Wang Arijit Khan Yinghui Wu 27 2 0 30 Apr 2024
A survey of dynamic graph neural networks Yanping Zheng Lu Yi Zhewei Wei AI4TS AI4CE 25 7 0 28 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark J. Coates 37 3 0 21 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 27 2 0 19 Apr 2024
Characterizing the Influence of Topology on Graph Learning Tasks Kailong Wu Yule Xie Jiaxin Ding Yuxiang Ren Luoyi Fu Xinbing Wang Cheng Zhou 18 0 0 11 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 27 2 0 06 Apr 2024
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide Sunwoo Kim Soo Yong Lee Yue Gao Alessia Antelmi Mirko Polato Kijung Shin GNN AI4TS 29 17 0 01 Apr 2024
ChebMixer: Efficient Graph Representation Learning with MLP Mixer Xiaoyan Kui Haonan Yan Qinsong Li Liming Chen Beiji Zou 30 0 0 25 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 26 18 0 24 Mar 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 18 0 0 23 Mar 2024
Unifews: Unified Entry-Wise Sparsification for Efficient Graph Neural Network Ningyi Liao Zihao Yu Siqiang Luo GNN 26 0 0 20 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks Wei Duan Jie Lu Yu Guang Wang Junyu Xuan 21 4 0 18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 30 0 0 13 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 33 3 0 12 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 25 7 0 12 Mar 2024
Graph Data Condensation via Self-expressive Graph Structure Reconstruction Zhanyu Liu Chaolv Zeng Guanjie Zheng DD 52 10 0 12 Mar 2024
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs M. Park Jaeseung Heo Dongwoo Kim 24 0 0 11 Mar 2024
Local Vertex Colouring Graph Neural Networks Shouheng Li Dongwoo Kim Qing Wang 58 1 0 10 Mar 2024
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification Qiuyu Liang Weihua Wang F. Bao Guanglai Gao 24 7 0 10 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 22 4 0 06 Mar 2024
Robust Graph Structure Learning under Heterophily Xuanting Xie Zhao Kang Wenyu Chen 24 3 0 06 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia Xiao Wang Nian Liu Chuan Shi 38 10 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 33 7 0 06 Mar 2024
A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study Osman Alperen Koras Jorg Schlotterer Christin Seifert 29 1 0 05 Mar 2024
Minimum Topology Attacks for Graph Neural Networks Mengmei Zhang Xiao Wang Chuan Shi Lingjuan Lyu Tianchi Yang Junping Du AAML 29 7 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 42 2 0 04 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 88 23 0 02 Mar 2024
Subhomogeneous Deep Equilibrium Models Pietro Sittoni Francesco Tudisco 19 0 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 27 24 0 21 Feb 2024
Verifying message-passing neural networks via topology-based bounds tightening Christopher Hojny Shiqiang Zhang Juan S. Campos Ruth Misener AAML 39 6 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 19 37 0 20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 11 0 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 22 17 0 18 Feb 2024
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking Simon Zhang Cheng Xin Tamal K. Dey 35 1 0 17 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation Xinjian Zhao Liang Zhang Yang Liu Ruocheng Guo Xiangyu Zhao 8 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 15 9 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 23 1 0 13 Feb 2024