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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
Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han Zhimeng Jiang Ninghao Liu Qingquan Song Jundong Li Helen Zhou 65 21 0 13 Feb 2022
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph Ruijie Wang Zheng Li Danqing Zhang Qingyu Yin Tong Zhao Bing Yin Tarek Abdelzaher AI4TS 72 26 0 12 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 108 12 0 10 Feb 2022
FMP: Toward Fair Graph Message Passing against Topology Bias Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 80 48 0 08 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 91 24 0 08 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing Hyeokjin Kwon Jong-Min Lee 53 0 0 08 Feb 2022
Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences Meng Liu Shuiwang Ji GNN 74 3 0 07 Feb 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 95 22 0 05 Feb 2022
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited Mingguo He Zhewei Wei Ji-Rong Wen GNN 96 113 0 04 Feb 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 78 10 0 01 Feb 2022
MGNN: Graph Neural Networks Inspired by Distance Geometry Problem Guanyu Cui Zhewei Wei 81 8 0 31 Jan 2022
SMGRL: Scalable Multi-resolution Graph Representation Learning Reza Namazi Elahe Ghalebi Sinead Williamson H. Mahyar 79 1 0 29 Jan 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 180 55 0 27 Jan 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 69 18 0 23 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 105 39 0 19 Jan 2022
Multi-level Second-order Few-shot Learning Hongguang Zhang Hongdong Li Piotr Koniusz 98 35 0 15 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 84 46 0 14 Jan 2022
Contrastive Laplacian Eigenmaps Hao Zhu Ke Sun Piotr Koniusz 81 47 0 14 Jan 2022
Local2Global: A distributed approach for scaling representation learning on graphs Lucas G. S. Jeub Giovanni Colavizza Xiaowen Dong Marya Bazzi Ning Zhang 83 1 0 12 Jan 2022
Quasi-Framelets: Another Improvement to GraphNeural Networks Mengxi Yang Xuebin Zheng Jie Yin Junbin Gao GNN 81 0 0 11 Jan 2022
FairEdit: Preserving Fairness in Graph Neural Networks through Greedy Graph Editing Donald Loveland Jiayi Pan A. Bhathena Yiyang Lu 76 16 0 10 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 82 83 0 03 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 60 4 0 31 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 71 3 0 30 Dec 2021
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Lei Wang Jun Liu Piotr Koniusz 98 21 0 23 Dec 2021
D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning Honglu Zhou Advith Chegu Samuel S. Sohn Zuohui Fu Gerard de Melo Mubbasir Kapadia 81 7 0 22 Dec 2021
RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning Hansheng Xue V. Mallawaarachchi Yujia Zhang Vaibhav Rajan Yu Lin 57 14 0 22 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 80 15 0 22 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 87 42 0 18 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 86 30 0 14 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 124 24 0 08 Dec 2021
Distance and Hop-wise Structures Encoding Enhanced Graph Attention Networks Zhiyi Huang Xiaowei Chen Bojuan Wang 49 0 0 06 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 21 1 0 04 Dec 2021
Multi-task Self-distillation for Graph-based Semi-Supervised Learning Yating Ren Junzhong Ji Lingfeng Niu Minglong Lei SSL 124 7 0 02 Dec 2021
Contrastive Adaptive Propagation Graph Neural Networks for Efficient Graph Learning Jun Hu Shengsheng Qian Quan Fang Changsheng Xu GNN 49 0 0 02 Dec 2021
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems Weibin Li Mingkai He Zhengjie Huang Xianming Wang Shikun Feng Weiyue Su Yu Sun 66 4 0 02 Dec 2021
p2pGNN: A Decentralized Graph Neural Network for Node Classification in Peer-to-Peer Networks Emmanouil Krasanakis Symeon Papadopoulos I. Kompatsiaris GNN 65 7 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 63 2 0 25 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 39 1 0 19 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 82 1 0 16 Nov 2021
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks M. Ramezani Weilin Cong Mehrdad Mahdavi M. Kandemir A. Sivasubramaniam GNN 89 32 0 16 Nov 2021
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering Yaoming Cai Zijia Zhang Z. Cai Xiaobo Liu Yao Ding Pedram Ghamisi FedML 63 1 0 15 Nov 2021
$p$ -Laplacian Based Graph Neural Networks Guoji Fu P. Zhao Yatao Bian 59 45 0 14 Nov 2021
Implicit vs Unfolded Graph Neural Networks Yongyi Yang Tang Liu Yangkun Wang Zengfeng Huang David Wipf 236 15 0 12 Nov 2021
Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs Hesham Mostafa GNN 99 25 0 11 Nov 2021
Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods Wenqing Zheng Edward W. Huang Nikhil S. Rao S. Katariya Zhangyang Wang Karthik Subbian 92 66 0 08 Nov 2021
Directional Message Passing on Molecular Graphs via Synthetic Coordinates Johannes Klicpera Chandan Yeshwanth Stephan Günnemann 72 38 0 08 Nov 2021
Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning Qinkai Zheng Xu Zou Yuxiao Dong Yukuo Cen Da Yin Jiarong Xu Yang Yang Jie Tang OOD AAML 84 51 0 08 Nov 2021
Graph Denoising with Framelet Regularizer Bingxin Zhou Ruikun Li Xuebin Zheng Yu Guang Wang Junbin Gao 58 14 0 05 Nov 2021
Higher-Order Implicit Fairing Networks for 3D Human Pose Estimation Jianning Quan A. Ben Hamza 3DH 88 13 0 01 Nov 2021