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A pipeline for fair comparison of graph neural networks in node
  classification tasks

A pipeline for fair comparison of graph neural networks in node classification tasks

19 December 2020
Wentao Zhao
Dalin Zhou
X. Qiu
Wei Jiang
ArXivPDFHTML

Papers citing "A pipeline for fair comparison of graph neural networks in node classification tasks"

6 / 6 papers shown
Title
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
45
104
0
16 May 2022
GraphWorld: Fake Graphs Bring Real Insights for GNNs
GraphWorld: Fake Graphs Bring Real Insights for GNNs
John Palowitch
Anton Tsitsulin
Brandon Mayer
Bryan Perozzi
GNN
195
68
0
28 Feb 2022
Benchmarking Graph Neural Networks
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
Bag of Tricks for Image Classification with Convolutional Neural
  Networks
Bag of Tricks for Image Classification with Convolutional Neural Networks
Tong He
Zhi-Li Zhang
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
221
1,399
0
04 Dec 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
251
1,811
0
25 Nov 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
245
31,257
0
16 Jan 2013
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