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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"

22 / 872 papers shown
Title
Context-Aware Graph Attention Networks
Context-Aware Graph Attention Networks
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
12
4
0
04 Sep 2019
GmCN: Graph Mask Convolutional Network
GmCN: Graph Mask Convolutional Network
A. Jung
Beibei Wang
Jin Tang
Bin Luo
18
1
0
04 Sep 2019
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation
  Network
Semi-supervised Learning with Adaptive Neighborhood Graph Propagation Network
Bo Jiang
Leiling Wang
Jin Tang
Bin Luo
GNN
26
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
33
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
42
1,314
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
13
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
39
162
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
22
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
24
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
39
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
68
4,258
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
28
568
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
56
3,109
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
30
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
Cesare Alippi
GNN
27
388
0
05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Yuchen Zhang
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
33
5,416
0
20 Dec 2018
Deep Learning on Graphs: A Survey
Deep Learning on Graphs: A Survey
Ziwei Zhang
Peng Cui
Wenwu Zhu
GNN
54
1,321
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
32
1,327
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
279
1,948
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
37
1,057
0
21 May 2018
Convolutional Geometric Matrix Completion
Convolutional Geometric Matrix Completion
Kai-Lang Yao
Wu-Jun Li
Jianbo Yang
Xinyan Lu
GNN
15
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
263
1,812
0
25 Nov 2016
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