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Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity

Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity

7 March 2017
Eliav Buchnik
E. Cohen
ArXivPDFHTML

Papers citing "Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity"

6 / 6 papers shown
Title
Position-aware Structure Learning for Graph Topology-imbalance by
  Relieving Under-reaching and Over-squashing
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing
Qingyun Sun
Jianxin Li
Haonan Yuan
Xingcheng Fu
Hao Peng
Cheng Ji
Qian Li
Philip S. Yu
19
38
0
17 Aug 2022
Combining Label Propagation and Simple Models Out-performs Graph Neural
  Networks
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks
Qian Huang
Horace He
Abhay Singh
Ser-Nam Lim
Austin R. Benson
31
283
0
27 Oct 2020
Diffusion Improves Graph Learning
Diffusion Improves Graph Learning
Johannes Klicpera
Stefan Weißenberger
Stephan Günnemann
GNN
56
687
0
28 Oct 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
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
PAN: Path Integral Based Convolution for Deep Graph Neural Networks
Zheng Ma
Ming Li
Yuguang Wang
GNN
22
24
0
24 Apr 2019
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
47
3,118
0
19 Feb 2019
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