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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
Beyond Low-Pass Filters: Adaptive Feature Propagation on Graphs Sean Li Dongwoo Kim Qing Wang GNN 79 34 0 26 Mar 2021
Bag of Tricks for Node Classification with Graph Neural Networks Yangkun Wang Jiarui Jin Weinan Zhang Yong Yu Zheng Zhang David Wipf 110 56 0 24 Mar 2021
Expanding Semantic Knowledge for Zero-shot Graph Embedding Ziyi Wang Rui Shao Changping Wang Changjun Hu Chaokun Wang Zhiguo Gong 43 3 0 23 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 83 121 0 21 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 83 10 0 12 Mar 2021
Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang T. Liu Yangkun Wang Jinjing Zhou Quan Gan Zhewei Wei Zheng Zhang Zengfeng Huang David Wipf 117 83 0 10 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 84 128 0 04 Mar 2021
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective Wei Huang Yayong Li Weitao Du Jie Yin R. Xu Ling-Hao Chen Miao Zhang 87 17 0 03 Mar 2021
CogDL: A Comprehensive Library for Graph Deep Learning Yukuo Cen Zhenyu Hou Yan Wang Qibin Chen Yi Luo ... Guohao Dai Yu Wang Chang Zhou Hongxia Yang Jie Tang GNN AI4CE 142 17 0 01 Mar 2021
Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks Xinyang Zhang Chenwei Zhang Xin Luna Dong Jingbo Shang Jiawei Han 65 18 0 23 Feb 2021
MagNet: A Neural Network for Directed Graphs Xitong Zhang Yixuan He Nathan Brugnone Michael Perlmutter M. Hirn 147 135 0 22 Feb 2021
Dissecting the Diffusion Process in Linear Graph Convolutional Networks Yifei Wang Yisen Wang Jiansheng Yang Zhouchen Lin GNN 130 84 0 22 Feb 2021
Dynamic Graph Modeling of Simultaneous EEG and Eye-tracking Data for Reading Task Identification Puneet Mathur Trisha Mittal Tianyi Zhou 67 12 0 21 Feb 2021
A Deep Graph Wavelet Convolutional Neural Network for Semi-supervised Node Classification Jingyi Wang Zhidong Deng GNN 57 12 0 19 Feb 2021
Wasserstein Graph Neural Networks for Graphs with Missing Attributes Zhi-Xing Chen Tengfei Ma Yangqiu Song Yangkun Wang GNN 98 2 0 06 Feb 2021
Learning Conjoint Attentions for Graph Neural Nets Tiantian He Yew-Soon Ong Lu Bai GNN 67 56 0 05 Feb 2021
Learning Graph Embeddings for Compositional Zero-shot Learning Muhammad Ferjad Naeem Yongqin Xian Federico Tombari Zeynep Akata CoGe 79 142 0 03 Feb 2021
Noise-robust classification with hypergraph neural network Nguyen Trinh Vu Dang L. Tran Linh-Tam Tran NoLa 24 1 0 03 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 116 88 0 31 Jan 2021
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 146 203 0 28 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 92 53 0 27 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 100 54 0 21 Jan 2021
A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations Junteng Jia Austin R. Benson 80 29 0 19 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 204 598 0 04 Jan 2021
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 90 12 0 30 Dec 2020
Signed Graph Diffusion Network Jinhong Jung Jaemin Yoo U. Kang GNN DiffM 78 19 0 28 Dec 2020
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training Yongkang Liu Shi Feng Daling Wang Kaisong Song Feiliang Ren Yifei Zhang LRM 52 21 0 21 Dec 2020
Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks Susie Xi Rao Shuai Zhang Zhichao Han Zitao Zhang Wei Min Mo Cheng Yinan Shan Yang Zhao Ce Zhang 73 8 0 20 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 174 127 0 16 Dec 2020
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs Jiarong Xu Yizhou Sun Xin Jiang Yanhao Wang Yang Yang Chunping Wang Jiangang Lu AAML 112 14 0 12 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 124 21 0 07 Dec 2020
Revisiting graph neural networks and distance encoding from a practical view Haoteng Yin Yanbang Wang Pan Li AI4CE 68 5 0 22 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 67 4 0 22 Nov 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Tengjiao Wang GNN 257 1,256 0 04 Nov 2020
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex Roman Kern D. Helic AI4MH 66 4 0 30 Oct 2020
Reliable Graph Neural Networks via Robust Aggregation Simon Geisler Daniel Zügner Stephan Günnemann AAML OOD 60 72 0 29 Oct 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 54 150 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 78 46 0 28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 103 283 0 27 Oct 2020
Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering Shih-Gu Huang M. Chung A. Qiu Alzheimer's Disease Neuroimaging Initiative 36 11 0 26 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 172 241 0 24 Oct 2020
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization Bang Wu Xiangwen Yang Shirui Pan Lizhen Qu MIACV MLAU 113 56 0 24 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 111 107 0 23 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 68 63 0 22 Oct 2020
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks Jiaqi Ma B. Chang Xuefei Zhang Qiaozhu Mei 179 14 0 05 Oct 2020
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma Xiaorui Liu Tong Zhao Yozen Liu Jiliang Tang Neil Shah AI4CE 120 177 0 05 Oct 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 82 135 0 29 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 83 24 0 24 Sep 2020
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijia Chen Fuli Feng Qifan Wang Xiangnan He Chonggang Song Guohui Ling Yongdong Zhang GNN 74 23 0 11 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 101 5 0 08 Sep 2020