v1v2v3v4v5v6 (latest)

Predict then Propagate: Graph Neural Networks meet Personalized PageRank

14 October 2018

Johannes Klicpera

Aleksandar Bojchevski

Stephan Günnemann

GNN

ArXiv (abs)PDF HTML

Papers citing "Predict then Propagate: Graph Neural Networks meet Personalized PageRank"

50 / 881 papers shown

Title
A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising Fuli Wang K. Pena-Pena Wei Qian Gonzalo R. Arce 107 1 0 15 Sep 2023
Bregman Graph Neural Network Jiayu Zhai Lequan Lin Dai Shi Junbin Gao 58 4 0 12 Sep 2023
A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction Haohao Qu Haoxuan Kuang Jun Li Linlin You GNN 41 26 0 11 Sep 2023
Towards Unsupervised Graph Completion Learning on Graphs with Features and Structure Missing Sichao Fu Qinmu Peng Yang He Baokun Du Xinge You 83 2 0 06 Sep 2023
Interactive Graph Convolutional Filtering Jin Zhang Defu Lian Hong Xie Yawen Li Enhong Chen 71 0 0 04 Sep 2023
Rank Collapse Causes Over-Smoothing and Over-Correlation in Graph Neural Networks Andreas Roth Thomas Liebig 118 14 0 31 Aug 2023
Domain-adaptive Message Passing Graph Neural Network X. Shen Shirui Pan K. Choi Xiaoping Zhou 103 18 0 31 Aug 2023
Efficient and Explainable Graph Neural Architecture Search via Monte-Carlo Tree Search Yuya Sasaki 86 0 0 30 Aug 2023
Class-Imbalanced Graph Learning without Class Rebalancing Zhining Liu Ruizhong Qiu Zhichen Zeng Hyunsik Yoo David Zhou Zhe Xu Yada Zhu Kommy Weldemariam Jingrui He Hanghang Tong AI4CE 84 12 0 27 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 103 8 0 22 Aug 2023
Graph Neural Bandits Yunzhe Qi Yikun Ban Jingrui He 75 21 0 21 Aug 2023
FRGNN: Mitigating the Impact of Distribution Shift on Graph Neural Networks via Test-Time Feature Reconstruction Ruitian Ding Jielong Yang Feng Ji Xionghu Zhong Linbo Xie 117 1 0 18 Aug 2023
The Expressive Power of Graph Neural Networks: A Survey Bingxue Zhang Changjun Fan Shixuan Liu Kuihua Huang Xiang Zhao Jin-Yu Huang Zhong Liu 237 26 0 16 Aug 2023
Simple and Efficient Partial Graph Adversarial Attack: A New Perspective Guanghui Zhu Meng Chen Chun Yuan Jiaming Ji AAML 71 7 0 15 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 118 10 0 14 Aug 2023
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment Wentao Ning Xiao Yan Weiwen Liu R. Cheng Rui Zhang Bo Tang 98 21 0 10 Aug 2023
Bridging Trustworthiness and Open-World Learning: An Exploratory Neural Approach for Enhancing Interpretability, Generalization, and Robustness Shide Du Zihan Fang Shiyang Lan Yanchao Tan Manuel Günther Shiping Wang Wenzhong Guo 92 5 0 07 Aug 2023
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs Ling Yang Ye Tian Minkai Xu Zhongyi Liu Shenda Hong Wei Qu Wentao Zhang Tengjiao Wang Muhan Zhang J. Leskovec 84 14 0 04 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 99 1 0 31 Jul 2023
Iterative Graph Filtering Network for 3D Human Pose Estimation Zaedul Islam A. Ben Hamza 3DH 109 3 0 29 Jul 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 85 9 0 29 Jul 2023
Graph Condensation for Inductive Node Representation Learning Xin Gao Tong Chen Yilong Zang Wentao Zhang Quoc Viet Hung Nguyen Kai Zheng Hongzhi Yin DD AI4CE 109 38 0 29 Jul 2023
Addressing the Impact of Localized Training Data in Graph Neural Networks S. Akansha 86 3 0 24 Jul 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 148 12 0 22 Jul 2023
How Curvature Enhance the Adaptation Power of Framelet GCNs Dai Shi Yi Guo Zhiqi Shao Junbin Gao 66 14 0 19 Jul 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 61 6 0 17 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 90 0 0 16 Jul 2023
Learning Disentangled Representations in Signed Directed Graphs without Social Assumptions Geonwoo Ko Jinhong Jung 59 4 0 06 Jul 2023
Muti-scale Graph Neural Network with Signed-attention for Social Bot Detection: A Frequency Perspective S. Shi Kai Qiao Zhengyan Wang J. Yang Baojie Song Jian Chen Binghai Yan 78 3 0 05 Jul 2023
Random Walk on Multiple Networks Dongsheng Luo Yuchen Bian Yaowei Yan Xiong Yu Jun Huan Xiao Liu Xiang Zhang 65 2 0 04 Jul 2023
Shared Growth of Graph Neural Networks via Prompted Free-direction Knowledge Distillation Kaituo Feng Yikun Miao Changsheng Li Ye Yuan Guoren Wang 121 0 0 02 Jul 2023
GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily Shuaicheng Zhang Haohui Wang Si Zhang Dawei Zhou 72 2 0 25 Jun 2023
Boosting Multitask Learning on Graphs through Higher-Order Task Affinities Dongyue Li Haotian Ju Aneesh Sharma Hongyang R. Zhang 149 8 0 24 Jun 2023
On Addressing the Limitations of Graph Neural Networks Sitao Luan GNN 106 5 0 22 Jun 2023
Structure-Aware DropEdge Towards Deep Graph Convolutional Networks Jiaqi Han Wen-bing Huang Yu Rong Tingyang Xu Gang Hua Junzhou Huang 88 6 0 21 Jun 2023
GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks Wentao Zhao Qitian Wu Chenxiao Yang Junchi Yan 72 14 0 20 Jun 2023
SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations Qitian Wu Wen-Long Zhao Chenxiao Yang Hengrui Zhang Fan Nie Haitian Jiang Yatao Bian Junchi Yan AI4CE 153 100 0 19 Jun 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication A. Jaiswal Shiwei Liu Tianlong Chen Ying Ding Zhangyang Wang GNN 109 7 0 18 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 143 24 0 17 Jun 2023
Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds Haoran Deng Yang Yang Jiahe Li Haoyang Cai Shi Pu Weihao Jiang 93 6 0 15 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 82 0 0 14 Jun 2023
Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs Y. Zheng He Zhang V. Lee Yu Zheng Tianlin Li Shirui Pan 82 34 0 13 Jun 2023
A Graph Dynamics Prior for Relational Inference Liming Pan Chengzhi Shi Ivan Dokmanić AI4CE 88 3 0 09 Jun 2023
On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks Donald Loveland Jiong Zhu Mark Heimann Benjamin Fish Michael T. Shaub Danai Koutra 122 7 0 08 Jun 2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness Jianpeng Liao Jun Yan Qian Tao 63 2 0 07 Jun 2023
Migrate Demographic Group For Fair GNNs Yanming Hu Tianchi Liao Jialong Chen Jing Bian Zibin Zheng Chuan Chen 86 0 0 07 Jun 2023
BeMap: Balanced Message Passing for Fair Graph Neural Network Xiao Lin Jian Kang Weilin Cong Hanghang Tong MoE 110 8 0 07 Jun 2023
Explaining and Adapting Graph Conditional Shift Qi Zhu Yizhu Jiao Natalia Ponomareva Jiawei Han Bryan Perozzi OOD 80 10 0 05 Jun 2023
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data Xin Zheng Miao Zhang C. Chen Quoc Viet Hung Nguyen Xingquan Zhu Shirui Pan DD 120 69 0 05 Jun 2023
What Makes Entities Similar? A Similarity Flooding Perspective for Multi-sourced Knowledge Graph Embeddings Zequn Sun Jiacheng Huang Xiaozhou Xu Qijin Chen Weijun Ren Wei Hu AI4TS 56 4 0 05 Jun 2023