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Graph Ordering: Towards the Optimal by Learning

Graph Ordering: Towards the Optimal by Learning

18 January 2020
Kangfei Zhao
Yu Rong
Jianwei Yu
Junzhou Huang
Hao Zhang
ArXiv (abs)PDFHTML

Papers citing "Graph Ordering: Towards the Optimal by Learning"

3 / 3 papers shown
Title
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
AutoLL: Automatic Linear Layout of Graphs based on Deep Neural Network
C. Watanabe
Taiji Suzuki
25
1
0
05 Aug 2021
Deep Two-Way Matrix Reordering for Relational Data Analysis
Deep Two-Way Matrix Reordering for Relational Data Analysis
C. Watanabe
Taiji Suzuki
21
4
0
26 Mar 2021
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic
  Scaling
Time-Efficient and High-Quality Graph Partitioning for Graph Dynamic Scaling
Masatoshi Hanai
Nikos Tziritas
Toyotaro Suzumura
Wentong Cai
Georgios Theodoropoulos
28
0
0
18 Jan 2021
1