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1810.05997
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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"
50 / 872 papers shown
Title
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Wasserstein Graph Neural Networks for Graphs with Missing Attributes
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Learning Conjoint Attentions for Graph Neural Nets
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Yew-Soon Ong
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Learning Graph Embeddings for Compositional Zero-shot Learning
Muhammad Ferjad Naeem
Yongqin Xian
Federico Tombari
Zeynep Akata
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Noise-robust classification with hypergraph neural network
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GraphEBM: Molecular Graph Generation with Energy-Based Models
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24
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Interpreting and Unifying Graph Neural Networks with An Optimization Framework
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Xiao Wang
C. Shi
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Peng Cui
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Efficient Graph Deep Learning in TensorFlow with tf_geometric
Jun Hu
Shengsheng Qian
Quan Fang
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Huaiwen Zhang
Changsheng Xu
GNN
31
53
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27 Jan 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
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Liudmila Prokhorenkova
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A Unifying Generative Model for Graph Learning Algorithms: Label Propagation, Graph Convolutions, and Combinations
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Austin R. Benson
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19 Jan 2021
Beyond Low-frequency Information in Graph Convolutional Networks
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Xiao Wang
C. Shi
Huawei Shen
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0
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Adaptive Graph Diffusion Networks
Chuxiong Sun
Jie Hu
Hongming Gu
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12
0
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Signed Graph Diffusion Network
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GNN
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32
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Shi Feng
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0
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Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks
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Shuai Zhang
Zhichao Han
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Wei Min
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19
8
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Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
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0
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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
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Wenrui Dai
Chenglin Li
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Yanbang Wang
Pan Li
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Stacked Graph Filter
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Takanori Maehara
T. Murata
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22
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Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
60
1,177
0
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On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks
Hussain Hussain
Tomislav Duricic
Elisabeth Lex
Roman Kern
D. Helic
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22
4
0
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Reliable Graph Neural Networks via Robust Aggregation
Simon Geisler
Daniel Zügner
Stephan Günnemann
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0
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Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen
Zhewei Wei
Bolin Ding
Yaliang Li
Ye Yuan
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142
0
29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs
Lei Chen
Zhengdao Chen
Joan Bruna
21
44
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28 Oct 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
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Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
37
283
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Revisiting convolutional neural network on graphs with polynomial approximations of Laplace-Beltrami spectral filtering
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M. Chung
A. Qiu
Alzheimer's Disease Neuroimaging Initiative
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Graph Information Bottleneck
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Hongyu Ren
Pan Li
J. Leskovec
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93
224
0
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Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization
Bang Wu
Xiangwen Yang
Shirui Pan
Xingliang Yuan
MIACV
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55
53
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
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35
102
0
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Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Fuli Feng
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Tat-Seng Chua
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CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks
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B. Chang
Xuefei Zhang
Qiaozhu Mei
39
14
0
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A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma
Xiaorui Liu
Tong Zhao
Yozen Liu
Jiliang Tang
Neil Shah
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176
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Multi-hop Attention Graph Neural Network
Guangtao Wang
Rex Ying
Jing Huang
J. Leskovec
17
131
0
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Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang
Tijin Yan
Zenjun Xie
Yuanqing Xia
Yuan Zhang
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24
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CatGCN: Graph Convolutional Networks with Categorical Node Features
Weijia Chen
Fuli Feng
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Xiangnan He
Chonggang Song
Guohui Ling
Yongdong Zhang
GNN
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22
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SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
Sebastian Mežnar
Nada Lavrac
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5
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Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
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Yu Sun
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750
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Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang
Chenhao Niu
Peng Cui
Jian Pei
Bo Zhang
Wenwu Zhu
21
2
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LFGCN: Levitating over Graphs with Levy Flights
Yuzhou Chen
Yulia R. Gel
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24
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Rethinking Graph Regularization for Graph Neural Networks
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Kaili Ma
James Cheng
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Lifelong Graph Learning
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Yuheng Qiu
Dasong Gao
Sebastian Scherer
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26
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Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More
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Random Surfing Revisited: Generalizing PageRank's Teleportation Model
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26
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Towards Deeper Graph Neural Networks
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Shuiwang Ji
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46
596
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Network Embedding with Completely-imbalanced Labels
Zheng Wang
Xiaojun Ye
Chaokun Wang
Jian Cui
Philip S. Yu
17
54
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Simple and Deep Graph Convolutional Networks
Ming Chen
Zhewei Wei
Zengfeng Huang
Bolin Ding
Yaliang Li
GNN
54
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0
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Scaling Graph Neural Networks with Approximate PageRank
Aleksandar Bojchevski
Johannes Klicpera
Bryan Perozzi
Amol Kapoor
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Michal Lukasik
Stephan Günnemann
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32
367
0
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From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation
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