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Predict then Propagate: Graph Neural Networks meet Personalized PageRank

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"

20 / 870 papers shown
Title
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation
  Network
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang
Leiling Wang
Jin Tang
B. Luo
GNN
18
0
0
14 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun
Zhanxing Zhu
Zhouchen Lin
GNN
17
80
0
14 Aug 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node
  Classification
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
Yu Rong
Wenbing Huang
Tingyang Xu
Junzhou Huang
22
1,304
0
25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social
  Recommendation
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation
KyungHyun Kim
Donghyun Kwak
Hanock Kwak
Young-Jin Park
Sangkwon Sim
Jae-Han Cho
Minkyu Kim
Jihun Kwon
Nako Sung
Jung-Woo Ha
8
19
0
24 Jul 2019
Certifiable Robustness and Robust Training for Graph Convolutional
  Networks
Certifiable Robustness and Robust Training for Graph Convolutional Networks
Daniel Zügner
Stephan Günnemann
OffRL
23
159
0
28 Jun 2019
Towards Interpretable Sparse Graph Representation Learning with
  Laplacian Pooling
Towards Interpretable Sparse Graph Representation Learning with Laplacian Pooling
Emmanuel Noutahi
Dominique Beaini
Julien Horwood
Sébastien Giguère
Prudencio Tossou
AI4CE
14
34
0
28 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community
  Detection
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection
Pan Li
Eli Chien
O. Milenkovic
11
66
0
26 May 2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data
IPC: A Benchmark Data Set for Learning with Graph-Structured Data
Patrick Ferber
Tengfei Ma
Siyu Huo
Jie Chen
Michael Katz
PINN
17
5
0
15 May 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
12
4,202
0
06 Mar 2019
Adversarial Attacks on Graph Neural Networks via Meta Learning
Adversarial Attacks on Graph Neural Networks via Meta Learning
Daniel Zügner
Stephan Günnemann
OOD
AAML
GNN
17
564
0
22 Feb 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
9
3,100
0
19 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and
  Classification
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj
Jan Kralj
Janez Konc
Marko Robnik-Šikonja
Nada Lavrac
GNN
BDL
17
3
0
11 Feb 2019
Graph Neural Networks with convolutional ARMA filters
Graph Neural Networks with convolutional ARMA filters
F. Bianchi
Daniele Grattarola
L. Livi
C. Alippi
GNN
11
384
0
05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
26
5,365
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
22
1,311
0
11 Dec 2018
Pitfalls of Graph Neural Network Evaluation
Pitfalls of Graph Neural Network Evaluation
Oleksandr Shchur
Maximilian Mumme
Aleksandar Bojchevski
Stephan Günnemann
GNN
12
1,314
0
14 Nov 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
229
1,935
0
09 Jun 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNN
AAML
OOD
18
1,051
0
21 May 2018
Convolutional Geometric Matrix Completion
Convolutional Geometric Matrix Completion
Kai-Lang Yao
Wu-Jun Li
Jianbo Yang
Xinyan Lu
GNN
8
8
0
02 Mar 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
234
1,809
0
25 Nov 2016
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